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If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the Position: At Twitch, we’re always looking for high-potential talent. If you’re a current student at a North American college or university interested in computer science, we’d love to see you apply. See below for just a few reasons why our cohort-based internship program is one-of-a kind. Project-Based Learning at Scale: Twitch operates at a massive scale, requiring us to push the boundaries of technology and experiment with techniques used by only the largest websites. As an intern, you’ll have the opportunity to work on some of the most challenging engineering problems in the industry, making every project a valuable learning experience. Comprehensive Support Team: To ensure our interns thrive, we provide a dedicated support system, including a Manager, Mentor, and Early Careers Advisor. This team will work closely with you to guide your project from start to finish and ensure you have the resources needed to succeed. Enriched Intern Community: In addition to hands-on engineering work, you will participate in leadership and interpersonal development curriculum, as well as gain valuable industry insights from Twitch leaders through fireside chats. To complement the technical aspects of the program, we offer a variety of enrichment activities, including cohort trips, weekly advisory sessions, and local community events. We also provide housing assistance to make your summer internship as rewarding and enjoyable as possible.Want to learn more? Check out the Early Careers Page for internship and student-focused content. You Will:- Contribute to product design and implementation discussions- Find and build unique solutions to implement projects from the idea phase to production- Test and iterate code before and after production release- Connect with intern peers, new teammates, and colleagues from across the businessPerks-Housing stipend provided (for in person)BASIC QUALIFICATIONS- Eagerness to investigate challenges and present reasonable solutions reliably and quickly- Excitement to pick up a new language and be productive with it in a week- Desire to work collaboratively in a team environment- BA/BS Graduation Year: December 2025 & 2026. No Masters/PhD- Completed coursework in or have an understanding of Data Structures and Algorithms ...

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers .Some of your responsibilities will include verifying/validating that our hardware and software solutions achieve their desired functionality, developing and executing multi-faceted verification/validation plans, and measuring the teams progress towards our ambitious customer metrics.This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost.We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.About UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS - BS Degree or Higher in EE or CS or CE.- 3+ years of design verification experience using System Verilog and UVM- 3+ years of experience in testbench development including: stimulus, checkers, assertions and coverage ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Key Responsibilities and Job Elements: - Support, mentor, and motivate your hourly workforce - Manage safety, quality, productivity, and customer delivery promises - Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives - Lift up to 49 pounds and frequently push, pull, squat, bend, and reach - Stand/walk for up to 12 hours during shifts - Work in an environment where the noise level varies and can be loud - Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments) - Continuously climb and descend stairs (applies to sites with stairs) Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings. BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

The XCM Entertainment Marketing team is looking for a passionate, creative, and customer obsessed Creative Program Manager to support our team as we build world-class branded entertainment campaigns for the Amazon Retail and Prime brands. The Entertainment Marketing team develops and executes best-in-class strategies around Content Integrations (CI) and Original Branded Content (OBC). The team manages these workstreams to engage new and existing customers in ways that ultimately drive brand strength for the Retail & Prime brands. Working collaboratively with cross-functional XCM colleagues, the Entertainment Marketing Team harnesses the creative power of entertaining content to efficiently and effectively achieve greater brand salience for Amazon products and services.This role will manage the execution and day-to-day processes for our team. They are responsible for building effective partnerships with the internal XCM team as well as partnering with our external entertainment agency to manage the creative development, production and post-production of our CIs. They are also responsible for driving strong cross functional team alignment and collaboration.Throughout the creative development process of integrations, in partnership with the Marketing Manager, the Creative Program Manager will ensure overall alignment to style guide, budget parameters, legal guidance, while managing ongoing logistics, and proactively planning for any and all option value. This role routinely assesses the progress across multiple teams (E&C, media, legal, and entertainment agency). This candidate will demonstrate strong ownership, bias for action, problem solving while maintaining clear and concise communication across all levels of leadership. This role is solutions focused, able to identify escalation paths at critical milestones, and anticipate and mange potential blockers. This role will thrive in a dynamic and fast-paced environment, able to assess and manage risks. They understand program management best practices, are able to clearly define roles and responsibilities of team members and stakeholders, manage multiple end-to end creative workflows at once, and able to proactively provide thoughtful solutions to address changes in timelines or feedback. They will be an organized self-starter with the ability to develop and implement processes and able to work alongside cross-functional teams to provide guidance for projects. This role is supporting net-new workstreams for XCM, which requires a deep, holistic understanding of the team’s goals, and the entrepreneurial ability to envision, articulate, and implement efficient processes for a never-been-done-before way of working.BASIC QUALIFICATIONS- 4+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building and optimizing multiple, simultaneous marketing campaigns- Experience managing or working within cross-functional marketing and creative teams ...

We are seeking an experienced cyber security and risk management leader with proven expertise in cyber security, eCommerce fraud investigations and risk mining (SQL, Python, Machine Learning, Data Science, etc.) to join The Trust & Store Integrity team (TSI) within SPS (Selling Partner Services). The individual in this role will lead a team of experts to investigate complex fraud schemes and prevent bad actors from committing fraud on our stores. The Sr. Security Industry Specialist is responsible for setting team goals, defining metrics to measure progress, and providing strategic consultation and guidance on emerging fraud trends in eCommerce, cyber security and compliance domains. An Individual in this role will own a portfolio of critical and high impact risk investigations and root cause analysis projects to scale their impact through technology and analytics (SQL, Python, machine learning). Further, an individual in this role is responsible to interpret and connect risks across Amazon’s multiple businesses and drive implementation of systematic solutions to solve endemic problems. The ideal candidate should be passionate about building teams (hiring, developing etc.), setting mechanisms to deliver results in a fast-paced environment, solving highly ambiguous risk problems through use of advanced data analytics and technology. They will lead their team to identify risk patterns, uncover process and technology gaps to prevent fraud at scale across Amazon stores worldwide. To be successful, the candidate must possess a customer-oriented attitude; have the highest standards of professionalism; and thrive in a work environment where everyone's views are respected and valued. Key job responsibilities• Complete risk analyses using complex data sets leveraging SQL, Python, R etc. • Build cross-team mechanisms to drive effective teamwork, communication, and collaboration across multiple groups with competing priorities. • Develop an in-depth understanding of the drivers for complex fraud schemes and create scalable processes for partner teams to understand the root cause of fraud risks in Amazon's internal business workflows and systems. • Define the metrics, measurements and analytical tools to quantify impact and surface area of risk and drive efforts to reduce those risks. • Advocate on behalf of Customers, Brands, and Selling Partners through the identification of gaps to prevent abuse, and drive resolution of the most impactful issues with the teams that own the product/application. • Partner with cross-functional teams of technical and non-technical stakeholders to define strategy, communicate, and drive progress across multiple initiatives• Anticipate bottlenecks, escalate effectively, anticipate and make tradeoffs to balance the business impact versus resource constraints. • Communicate program issues and status in a concise, accurate, and professional manner to all level of leaderships. • Remain flexible to changing priorities, open to new ideas and have Amazon's success firmly in your focus. • Conduct large scale deep dives to derive insights about tactics used to conduct abuse on our stores, identifying gaps and risk in Amazon's current mechanisms, systems, and policies • Write documents to share with partner teams and leadership team to provide progress update, propose new solutions, and drive alignment among stakeholders About the teamAbout the teamAbout the team The Trust & Store Integrity team (TSI) is responsible for creating a trustworthy shopping experience across Amazon stores worldwide by protecting customers, brands, selling partners and Amazon from fraud, counterfeit, and abuse as well as empowering, providing world‐class support, and building loyalty with Amazon’s millions of selling partners. We embrace our differences and are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. We design and implement policies, tools and innovative technology solutions to protect customers by identifying and preventing abuse worldwide. Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to help each team member develop into a better-rounded professional.Our growth requires highly skilled candidates who move fast, have an entrepreneurial spirit to create new solutions, a tenacity to get things done, and are capable of breaking down and solving complex problems. We value individual expression, respect different opinions, and work together to create a culture where each of us is able to contribute fully. Our unique backgrounds and perspectives strengthen our ability to achieve Amazon's mission of being Earth's most customer-centric company. Our team is comprised of experts in risk domains such as fraud, cybersecurity, data security, insider risk, regulatory compliance, etc. with a strong dependence on data analysis and or technical skills. We complement specialized industry skills with broad risk experiences gathered through years of experience to deliver results. We make mistakes, learn from them, and support each other. Our work is to solve hard puzzles - typically with data and always with a lot persistence and curiosity. If you like the sound of that, come join us.BASIC QUALIFICATIONS• Bachelor's degree in Information Security, Computer Science, Data Science/Analytics, Engineering, Mathematics, Statistics with 7+ years of relevant industry experience handling cyber security risks, fraud investigations, or regulatory compliance. • Highly proficient in data analysis (SQL or experience with multi-terabyte and petabyte relational databases) or scripting (i.e., Python, R, MATLAB).• 5+ years of team management experience in information security, access controls, fraud, cybersecurity, or regulatory compliance.• Proven history of managing talent and coaching team members to grow their career in technical and non-technical roles.• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences. • Proficient with data (SQL or experience with relational databases) or technology (i.e. Python, R, MATLAB).• Excellent written and verbal communication skills to communicate security and business risk to a broad range of technical and non-technical audiences. • Demonstrated analytical and quantitative skills using hard data and metrics to back up assumptions and develop business cases. • Proven ability to deliver complex projects across multiple teams. • Demonstrated experience in delivering complex projects across multiple teams.• Technical knowledge in at least one security domain such as access controls, engineering, system and network security, authentication, or security protocols. • High level of integrity and discretion to handle confidential information.• CompTIA Security certification or other cyber security certifications ...

Amazon is looking for a highly-motivated Jr. Software Development Engineer (SDE)! Jr. SDEs write real software and collaborate with experienced software engineers who provide guidance and opportunities for ownership on projects that matter to our customers. As a year-round intern, Jr. SDEs become fully integrated into their teams and regularly contribute to impactful deliverables. Your design and code will contribute to solving some of Amazon's most complex technical challenges.The Jr. SDE role is part of Amazon's Jr Developer Program - a year-round internship opportunity that offers a symbiotic relationship between work and school. Jrs. receive 1:1 mentoring throughout their time in the program, receiving guidance and insight from a full-time Amazonian on their team. Because of the internship's extended tenure, our Jrs. become immersed in an Amazon team and gain real-life technical experience. Flexible part-time schedules during the school year and full-time employment over the summer creates an environment where students can succeed in both their work and their education. Detroit has a growing population of Jrs, allowing for deep connections with fellow students engaged in similar roles.Our team is currently looking for students to start with one of our cohorts in January 2025, June 2025 and September 2025. Upon successful completion of the Jr. Developer Program, the opportunity for full-time employment may be available at an Amazon corporate site.Role Highlights: - Part-time work during the school year (16 hours/week) - Full-time work during the summer (40 hours/week) - 1:1 mentoring with an experienced Software Engineer - Effective performance management and integrated opportunities for growthBASIC QUALIFICATIONS Currently enrolled in an accredited college or university Bachelor's or Master's degree program. Majoring in Computer Science, Software Engineering, or related STEM field. Graduating June 2027 and beyond. Ability to work year-round until graduation (part-time during the school year and full-time during the summer). This role is not offered as remote or hybrid and working hours must be conducted in person at our corporate office in San Luis Obispo, CA. Candidates must be living within commutable distance to Detroit and able to work in-person year-round. Able to start working with the cohort in January, June or September 2025. Programming experience with at least one modern language such as Java, Python, or C++ including object-oriented design. ...

Amazon is seeking a Manager, Content Management to join the growing Strategic Storytelling Unit within the Sellers External Relations (SER) team. The Manager, Content Management will lead the implementation of a new organization wide (DAM) Digital Asset Management System helping drive efficiencies, and lead the management, curation, metadata, sharing, organization and surfacing of creative assets, including but not limited to videos, photos, design, and motion graphics. This leader will establish product best practices and most importantly will lead change initiatives and implement solutions that benefit cross-team collaboration and functionality, both internally and externally. They will develop clear processes and communicate with teams effectively for adoption of use while adjusting for improvements and embracing cutting-edge tools and technology (such as AI) to make content management operations workflows more streamlined and time and cost efficient. In addition to working with colleagues within SER, the role will require building relationships across the Selling Partner Empowerment, Communities and Trust (SPECT) organization, with cross functional stakeholders as well as with the external agencies and partners that support key marketing objectives. They will partner to create and implement a new digital asset management best practices playbook to develop standards for the team and the organization.Key job responsibilities•Own digital asset management (DAM) workflow and management, across the enterprise to advise on content management best practices, processes, technologies and ensuring compliance of media use and efficiencies of scale•Lead and support a team of Content Managers. Mentor, empower and foster critical thinking, and innovation•Leverage new tools and technologies to make asset management operations more efficient. Introduce new tools and technologies to stay current with industry trends•Communicate and teach best practices across the organization for end-user support across the teams•Develop data ROI including own metrics/dashboards of incoming and outgoing assets and reporting•understanding coding languages including PythonAbout the teamThe Seller External Relations (SER) team ensures that Amazon is viewed globally by external audiences as a valuable, accessible, partner who respects and celebrates the success of its sellers. We create content and tools that demonstrate and celebrate the positive experiences of sellers on Amazon to other sellers, the general public, and influentials (e.g., media and policymakers) with the goal of improving their perception of the experience and benefits of selling in our store.BASIC QUALIFICATIONS- Bachelor’s degree in Marketing, Library Sciences, or related field- 7+ years’ working within media management and leading processes- Experience organizing and managing large sets of assets across an ecosystem of tools linked to a DAM (Digital Asset Management) (Cantemo), and fulfilling asset requests in a fast-paced, deadline- driven creative environment.- Experience working with Cloud storage, remote Editing environments and various types of CMS’- 5+ years’ experience on a creative team in an ad agency or corporate marketing department ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer.Key job responsibilities* Support, mentor, and motivate your hourly workforce* Manage safety, quality, productivity, and customer delivery promises* Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives* Lift up to 49 pounds and frequently push, pull, squat, bend, and reach* Stand/walk for up to 12 hours during shifts* Work in an environment where the noise level varies and can be loud* Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)* Continuously climb and descend stairs (applies to sites with stairs)Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings.BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

Amazon is looking for world class Applied Scientist to join its AWS AI Labs with expertise in AI-assistants focusing on conversational- retrieval augmented generation (RAG), agent orchestration, multi-modal and multi-lingual chat agents, etc. You will be joining a team of applied scientists developing robust and scalable machine learning solutions for enterprise conversational assistants. You will interact in a cross-functional capacity with product and engineering leaders, as well as with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with acclaimed engineers and world-class scientists.We are hiring at the following locations for at levels: Seattle, NYC and Santa ClaraAbout the teamAmazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and take actions, securely completing the tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. As member of Q team, you’ll work on optimizing large language models in an efficient manner and implementing solutions to enhance and build new functionalities into Q assistant. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Kindle, and Amazon Echo. What will you help us create?Work hard. Have fun. Make history. The Role We are looking for a talented and passionate Embedded Software Engineer to be part of an exciting team. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge products used every day, by people you know. In this role, you will be responsible for system architecture and development of new features for embedded systems across multiple product and technology spaces (Alexa devices, IoT devices, etc.). You will join a team whose mission is to ensure that state-of-the-art technologies that serve the customer can be supported via flexible software architectures, OS and Hardware Platform abstraction, testability, and scalability across multiple device types. You will dive into an ambiguous problem spaces and meticulously distill out design choices, trade-offs, and priorities. You will Investigate, prototype and deliver new and innovative system solutions, participate in design reviews, API development, and documentationYou love to share best practices, influence and align teams, and be a technical ambassador for software reuse across the wider Amazon organization.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

The Amazon AGI SF Lab is focused on developing new foundational capabilities for useful AI agents that can take actions in the digital and physical worlds. In other words, we’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the commitment to pursue high-risk, high-payoff research.Key job responsibilities- Collaborate across AGI Autonomy to align team goals with the broader Autonomy research program- Identify and prioritize research opportunities to unlock the next set of agent capabilities- Mentor and guide team members to achieve their career goals and objectives- Other management activities, e.g., communicating with stakeholders, structuring work, and growing the teamBASIC QUALIFICATIONS- 5+ years of experience in formal management roles (i.e., with at least 3 direct reports)- Expertise in machine vision, autonomous systems, natural language processing, or related AI/ML field- Track record of successful projects in an applied research context ...

About the RoleThis position will be part of the Sponsored Product Demand Utilization team within the Amazon Advertising organization. You will work hands-on with scientists from day one, with exposure to all aspects of model lifecycle, and productionization of ML systems. This position is ideal for an engineer with prior MLOps or MLInfra experience looking to have exposure to science, with impact and ownership through engineering.You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. You will directly impact our customers’ shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to cutting-edge innovations in product search, information retrieval, Large Language Models, and Generative AI.About the OrgAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with products - with a high relevance bar and strict latency constraints. We are a team of machine learning scientists and software engineers working on complex solutions to understand the customer intent and present them with ads that are not only relevant to their actual shopping experience, but also non-obtrusive. This area is of strategic importance to Amazon Retail and Marketplace business, driving long term-growth.Realtime systems within our org operate with tight 10s of milliseconds, and high throughput requirements for offline systems, resulting in high impact from performance optimization.Key job responsibilities* Serve as a tech lead for defining innovative and cutting edge ML infrastructure for both inference and training* Build POCs and infrastructure for deploying and supporting models in production. Own A/B testing of experiments using this infrastructure* Work closely with scientists across the org to understand requirements and impact opportunities* Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge ML Infra can help improve customer experience * Stay on top of modern ML Infra and ML Ops technologies to understand where they can provide the most value within the org* Help attract and recruit technical talent, mentor engineers and scientists in the teamAn ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Impact and Career Growth:This is a rare opportunity for an ML focused SDE within Amazon to work directly with, and sprint with talented scientists while delivering impact across teams in the SP Demand Utilization Org. You will have experience working with multiple stakeholders across the org. You will have hands-on experience building and deploying production machine learning systems at scale, with opportunities for some of the largest revenue impact from an org within Amazon. This is a highly visible role that will have a direct impact on customers and revenue!Why you love this opportunity:* Direct business impact, your work in sponsored products affects pixels on amazon.com and amazon app, with real, observable product impact.* Vertical integration with science and engineering, with opportunities to touch all aspects of the model lifecycle, through training, optimization and inference* Exposure to bleeding edge model optimization techniques for LLMs and other large models, with clear path to revenue impact from optimization. This is a rare opportunity across the industry to gain experience and drive exploration in techniques like quantization, sparsity, knowledge distillation and neural architecture search on large scale models in an enterprise setting.* Challenging technical space, where we care about fitting inference for the largest possible models within tight realtime constraints (10s of ms) and high performance of numerical systems is mission critical.* Large scale impact on revenue through delivery of bar-raising optimizations and solutions for teams across the org.* Latitude to innovate on greenfield projects, this is effectively an R&D role with the intention of innovating on existing legacy systems.BASIC QUALIFICATIONS* 3+ years of non-internship professional software development experience* 3+ years of programming with at least one software programming language experience* 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience* Experience as a mentor, tech lead or leading an engineering team* Experience with common machine learning techniques such as pre-processing data, training, and evaluation* Experience in building large-scale machine-learning MLOps infrastructure for inference, eval or other parts of the model lifecyclePREFERRED QUALIFICATIONS* 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience* Industry experience in software development.* Experience with production machine learning systems* Experience profiling and identifying performance bottlenecks on CPU, GPU or other accelerators (e.g. using nsys, torchprof, VTune, gprof etc...)* Excellent distributed systems (e.g. AWS or other cloud infra) design experience* Experience with ML libraries/frameworks such as PyTorch, JAX, Tensorflow, Keras etc...* Experience with MLOps tooling like MLFlow, Sagemaker, Kubeflow, DVC etc...* Experience with systems programming, and low level optimization in Rust, C++, C or other similar languages.* Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing* Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practicesBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

This role is required to be in person at a grocery location in the Greater Roseville area.We are looking for an experienced Assistant Manager who can bring Amazon’s customer obsession to life in a grocery environment. You will direct day-to-day store operations and lead a team of engaged grocery associates to deliver a one of a kind shopping experience for customers. You will play a vital role in maintaining a vibrant store culture based on customer obsession, trust, respect, continuous learning, safety, and fun.Assistant Managers are experienced in leading large teams to deliver against standard operating procedures. Assistant Managers are natural leaders who are comfortable with change and are always looking for ways to improve their operation. Assistant Managers demonstrate a strong work ethic, excellent ownership, the ability to meet deadlines, a willingness to learn new things, and a commitment to the customer and employee experience.Key job responsibilities- Act as the manager on duty in the store, focused on delivering results while enabling a positive customer and employee experience.- Manage a team of associates, including relaying expectations, managing performance, providing regular feedback, and supporting career development.- Delegate effectively to drive exceptional results in your store, including executing standard operating procedures, identifying areas of improvement, implementing solutions, and providing ongoing feedback to store employees.- Maintain a culture of engagement by routinely listening to feedback from leaders, associates, and customers and implementing solutions to solve problems.- Identify areas of opportunity, determine root causes, and seek support to implement solutions to continuously improve the overall performance and culture of the store. - Maintain a safe, clean, and secure environment to ensure the security of all employees, customers, and products in your store.- You are comfortable working in a physical environment. You have the ability to lift up to 49 pounds and be on your feet for a shift, up to 10 hours at a time.- Must be able to work a flexible schedule/shift/work area, including weekends, nights and/or holidays.Candidates must be at least 18 years of age. Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role.BASIC QUALIFICATIONS- 3+ years leadership experience in a customer-facing retail, hospitality, or grocery environment, or 2+ years Amazon (Blue Badge/FTE) experience, or Bachelor's degree from an accredited university. ...

Are you interested in working with the largest ISV and Technology organizations in the world as they navigate through some of the most dynamic and disruptive transformation projects in their organization's history? Does the prospect of empowering these organizations cloud transformation success by aligning professional services to critical business and IT outcomes, overseeing and assessing engagement delivery, driving a holistic partner strategy and providing insight to accelerate rate of execution/adoption of cloud technology excite you?The Amazon Web Services Professional Services team is looking for Enterprise Service Managers (ESM) that can manage the working relationship with global organizations, develop a long term Professional Services strategy and execute that strategy within those accounts. The ESM is a trusted advisor for our largest and most committed customers. The role includes all aspects of business development, relationship development, delivery oversight and program management in those accounts.Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.We are looking for someone who is passionate about:* Long term development of Customer vision and strategy* Engage with customers to understand their business drivers and customer portfolio* Identify & develop specific opportunities and supporting business cases* Demand creation, deal shaping, including estimations and deal pricing* Identifying and positioning appropriate contracts for Opportunities* Contract negotiations & follow on for SOW signature* Identify potential opportunity & delivery risks, and define Mitigation plan for such risks & issues* Providing Executive Oversight for delivery of projects in account, ensuring high quality delivery* Leading innovation and scoping workshops with Customers* Act as single person of contact for Customer executives, developing deep, trustful relations* Educate customers on AWS services and translate those into a clear business value proposition* Envision and inspire customers* Coaching Customer and Partner teams to be self-sufficient.About the teamAmazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- 7+ years of external or internal customer facing, complex and large scale project management experience- Bachelor's degree, or 7+ years of professional or military experience ...

Amazon’s mission to be Earth’s most customer-centric company would be impossible without our talented people. Their hard work and creative thinking ensure we deliver great customer experiences.As we strive to be Earth's best employer, our global HR teams, known internally as People eXperience and Technology (PXT), grow the business through people by creating an inclusive culture focused on safety, engagement, technology and innovation.Broaden your HR knowledge to elevate your performance and unleash your potential as you take your HR career in exciting new directions.As an HR Business Partner on the AMZL People eXperience and Technology (PXT) team, you will provide HR generalist support to a large population of hourly employees as well as business leaders. This role provides the opportunity to do a variety of tactical and strategic work in an environment that encourages both independent initiative and collaborative teamwork. You will partner with business leaders to deliver HR initiatives focused on internal customer service, employee onboarding, talent management, and employee engagement. You will understand the importance of accurate and timely HR metrics as well as their inputs and impacts. In addition, you may lead and develop a team of entry-level HR employees and own projects or programs that impact the business or the broader HR team. To be successful in this role, you must understand business goals and prioritize them through high-impact work. You will influence your team and business leaders by providing HR expertise, sound judgment and data-driven recommendations that improve employee experience and business performance.Key job responsibilities- Examine situations thoroughly, check for and mitigate personal biases, and make high-judgment decisions that align with the intent of policies and minimize risk. Ensure fair and consistent application of all company policies and compliance with laws and regulations. Take partners or escalate when next steps are unclear. - Use data and metrics to identify trends, anticipate business needs, and implement action plans focused on employee experience and organizational health. - Execute employee engagement strategies and rewards and recognition programs. Regularly inspect employee sentiment mechanisms and identify, escalate and take partners when concerns or trends are discovered.- Provide developmental coaching and feedback to business leaders, including managing difficult employee issues, and delivering on organizational goals. - Champion change focused on creating and fostering a diverse, equitable and inclusive environment for all employees. Hold leaders accountable to equitable selection, retention, and development of their employees.A day in the lifeA typical day in this role involves providing strategic and tactical leadership guidance, executing on people initiatives, providing internal customer support, advising and coaching employees and leaders through development and performance matters, and driving HR functional excellence and process improvement. Responsibilities also include partnering with leaders at multiple levels of the organization to develop forward-looking goals and actions focused on the employee experience and operational objectives. Every day brings exciting new opportunities to make a meaningful impact on the lives of our employees and customers.About the teamAmazon Logistics' (AMZL) goal is to provide customers with an incredible package delivery experience. We partner with a network of independent delivery businesses (Delivery Service Providers) and the independent contractor community (Amazon Flex) to deliver customer orders. Utilizing continuous improvement initiatives and creative thinking, our Delivery Station teams ensure that millions of packages reach their final destination as efficiently as possible. BASIC QUALIFICATIONS- Bachelor's degree- 3+ years of human resources generalist experience, or a blend of HR and Operations. ...

Our Reliability & Maintenance Engineering (RME) team is integral to the success of Amazon worldwide. They manage risks, minimize system downtime, and find innovative ways to improve the way we work. It’s how we’ll become a more sustainable business while building the future one innovative product, service, and idea at a time.About the Role:As a Mechatronics & Robotics Technician, you will use your skills to support the Operations Maintenance team in repairing and maintaining material handling equipment and pneumatic systems throughout the building. You will have the opportunity to install, maintain and repair automated packaging and distribution equipment. In addition to developing your skills, you will mentor junior technicians to grow in their roles.What Do We Offer?Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there is more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety!Here is what you can expect with the Reliability & Maintenance Engineering (RME) selection process for Mechatronics & Robotics Technicians: (Timeframe: Approximately 30-days)Step 1: Congratulations! You successfully submitted your application! Step 2: Amazon Recruiting will review your application and invite the most qualified candidate to complete a pre-employment assessment. Step 3: If you meet the role qualifications, you will receive an invitation from Amazon Recruiting (do-not-reply@criteriacorp.com) to begin your Criteria assessment. You have 5 days to complete. Step 4: Once you successfully meet the pre-employment assessment requirements, you will be invited to complete a video interview. Your video interview invitation will be from HireVue (interviews@hirevue.com) and you will have 7 days to record your interview.Step 5: Your video interview will be reviewed by the Amazon Hiring Team and you will be notified of next steps via email within 5 business days. Key job responsibilitiesResponsibilities include, but are not limited to• Promote a safe working environment by following all safety procedures • Complete preventative maintenance routines with proper documentation• Troubleshoot electrical and mechanical problems related to all Material Handling Equipment (MHE), which includes belts, motors, photo-eyes, relays, and more• Maintain a positive working relationship across all of the Amazon Operations facility• Track and store department inventory• Move up to 49lbs as well as stand and walk during shifts lasting up to 12 hours, with or without reasonable accommodationPlease note that while we strive to accommodate employees' preferences for shift assignments, due to operational requirements and scheduling constraints, we cannot guarantee a specific shift assignment.The following are typical shifts in the Mechatronics & Robotics Technician role: Front Half Day Shift:Schedule: 4 days on, 3 days off. The days can be set according to your operational needs, a common pattern is working Sunday to Wednesday.Hours: Typically, this shift might start in the morning and end in the late afternoon. For a 10-hour shift, this could be 6:00 AM to 4:30 PM, with a half-hour break included.Back Half Day Shift:Schedule: 4 days on, 3 days off. Often, this shift could be Wednesday to Saturday to complement the Front Half Day Shift.Hours: Like the Front Half Day shift, this shift would also occur during daytime hours. Depending on your downtime windows, a typical schedule might be from 7:00 AM to 5:30 PM, with a half-hour break.Front Half Night Shift:Schedule: 4 days on, 3 days off. The days can be arranged as per your needs, such as Sunday to Wednesday.Hours: This shift would occur during the night. For example, it could run from 6:00 PM to 4:30 AM, with a half-hour break.Back Half Night Shift:Schedule: 4 days on, 3 days off. To complement the Front Half Night Shift, this might run from Wednesday to Saturday.Hours: Like the Front Half Night shift, this shift would take place during the night. Depending on your downtime windows, a typical schedule might be from 7:00 PM to 5:30 AM, with a half-hour break.At Amazon, we continuously strive to make sure our opportunities are open to all. We treat all job applications equally, and are always delighted to welcome a new Amazonian. Apply to join our close-knit team and your Amazon RME adventure will begin from day one. Where it goes and what it looks like is up to you!BASIC QUALIFICATIONS- 1+ years of Microsoft Office products and applications experience- High school or equivalent diploma- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- 2+ years of experience conducting quality predictive and preventative maintenance procedures- 2+ years of experience in the repair of material handling equipment (MHE), automated conveyor systems, or related mechanical/controls equipment- 2+ years of blueprint and electrical schematic reading knowledge- 2+ years of experience demonstrating Safety Standards- 1+ years of experience in troubleshooting and diagnostics of MHE systems ...

We are looking for a talented attorney to help support our machine learning and artificial intelligence initiatives, as we continue to bring delightful new products and services to our customers around the world.Key job responsibilitiesYou will serve as the business line lawyer and primary point-of-contact advising one or more business teams in Amazon's Artificial General Intelligence (AGI) org on a broad range of issues of first impression in AI. You will provide input on business strategy and legal risk throughout product development and planning cycles. You will partner with product managers, scientists, engineers and other cross-functional stakeholders to find effective and innovative solutions. You’ll do all of this with support from, and in collaboration with, a dynamic and global team of experienced lawyers at Amazon Legal.To be successful in this role, you will need to be creative and curious, and enjoy being challenged. You will also need to demonstrate sound judgment even in ambiguous situations. You should thrive working in a team-oriented environment and be adept at driving consensus.BASIC QUALIFICATIONS- 5+ years of legal experience- Juris Doctor and membership in one state bar or equivalent ...

Our Reliability & Maintenance Engineering (RME) team is integral to the success of Amazon worldwide. They manage risks, minimize system downtime, and find innovative ways to improve the way we work. It’s how we’ll become a more sustainable business while building the future one innovative product, service, and idea at a time. If you do not meet 100% of the preferred qualifications outlined in this job description, we still encourage you to apply. We understand that skills and competencies can be gained in many ways and we are primarily interested in a demonstrated commitment to the work and the potential to grow. Experience comes in many forms and passion goes a long way. If your experience is close to what we're looking for, please consider applying.About the Role:As a Control Systems Lead, you will lead service technicians on the team with maintaining, troubleshooting, and modifying Material Handling (MHE) controls systems equipment to ensure operational performance. You will support the Operations Maintenance team by designing solutions for difficult problems and managing projects. You will help train, and mentor service technicians and contract technicians.What Do We Offer?Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there’s more: we don’t wear suits and ties! Come as you are because jeans, t-shirts, sneakers and sometimes a neon safety vest will be your daily outfit.Key job responsibilitiesResponsibilities include, but are not limited to- Promote a safe working environment by following all safety procedures- Troubleshoot and modify software programs for material handling control systems, including PLC/PC controllers, Allen Bradley Controllogix and Compactlogix PLC platform utilizing RSLogix 5000 software package. Including Industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, AS-I, motor control systems, servo drives, frequency drives, and electrical distribution systems.- Act as first level escalation support for the control system technician teams. Appropriately escalate downtime situations to vendors or headquarters for support to restore equipment operation.- Apply subject matter expertise in material handling and electronic control systems to maximize building utilization of systems- Monitor MHE metrics and partner with Controls Technicians and Mechanics to resolve equipment electrical problems that create performance deficiencies. Perform controls systems assessments to maintain and improve equipment reliability- Partner with Facility Operations leadership, equipment vendors and parts suppliers to plan and coordinate new technology installations. Acting as the technical consultant for capital projects inside the building- Communicate technical issues and project timelines with building leadership, operations and the maintenance team. Explain production impacts and work closely with operations and engineering to ensure a thorough understanding of impact to systems- Develop training plans for Control Systems Technicians- Move up to 49lbs as well as stand and walk during shifts lasting up to 12 hours, with or without reasonable accommodationAt Amazon, we continuously strive to make sure our opportunities are open to all. We treat all job applications equally, and are always delighted to welcome a new Amazonian. Apply to join our close-knit team and your Amazon RME adventure will begin from day one. Where it goes and what it looks like is up to you!BASIC QUALIFICATIONS- 1+ years of Microsoft Office products and applications experience- Associate's degree, or 2+ years of professional or military experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas:* Hardware-informed efficient model architecture, training objective and curriculum design* Distributed training, accelerated optimization methods* Continual learning, multi-task/meta learning* Reasoning, interactive learning, reinforcement learning* Robustness, privacy, model watermarking* Model compression, distillation, pruning, sparsification, quantizationAbout the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...