Seattle

Are you a seasoned UX Designer, passionate about new technologies, driving change through data, and using customer obsessed design processes to create innovative tools?The Advertising User Experience team is looking for a a thoughtful and passionate Sr. UX Designer who sees technology as a way to re-imagine advertising experiences. We are a diverse team, building cutting edge tools and systems to simplify and optimize advertising as well as opportunities to measure, control, and innovate experiences of consumers with advertising. Our group functions as a start-up within Amazon, and offers a creative, fast paced, entrepreneurial work environment where you’ll be at the center of Amazon innovation.As a Sr. UX Designer you’ll own the definition and design of how advertisers build, manage, and scale their business with Amazon Ads. You will be involved in all aspects of product development, from first brainstorming sessions to working with product management, user research, engineering, and company leaders and will tackle some of our most difficult advertising challenges. You will work in a fast paced and innovative industry, where ideas evolve and concepts turn into real solutions quickly. As a responsive and trust-building leader of the space, you must be able to handle ambiguity, program complexity and changes in emerging technologies and ensure design-led design programs drive change.Key job responsibilities- Collaborate and work closely with product management, engineering, sales, and research from design concept to design solution, setting UX guidelines and driving cross-team collaboration and sharing, as well as establish best practices for interaction models and user interface designs throughout the team.- Work in a start-up style environment, where iteration is encouraged and design acumen is demonstrated through design end-to-end product ownership.- Communicate complex, interactive design concepts clearly and persuasively across different audiences and varying levels of the organization through excellent communication, presentation, interpersonal and analytical skills.- Earn trust with product managers to develop shared vision and use research and data to identify opportunities and inform decisions. BASIC QUALIFICATIONS- 8+ years of design experience- Have an available online portfolio- Excellent communication, presentation, interpersonal and analytical skills ...

The Amazon Devices Customer Insights & UX design team seeks a thoughtful, creative, and passionate Sr. UX Designer to be a part of our team as we define how Amazon Devices customers discover, learn about, purchase, and get the most value out of their devices. We are a global organization building platforms and programs to support the sale of and engagement with Amazon Devices including Alexa and Amazon Echo products, Kindle E-readers, Fire TV and streaming media products, Fire Tablets, Home Security and Smart Home products, and more. Join our team to help us define, design, and build next-generation shopping experiences for our customers. You'll be part of a multi-disciplinary team of designers, researchers, and technologists that can envision, create, and execute ideas from start to end.As Sr. UX Designer, you will own online shopping and brand-building inspirational and educational experiences for Amazon Devices, defining and designing interfaces across platforms (desktop, tablet, mobile) and channels (amazon.com, internal tooling) that scale. You will tackle our most difficult customer problems as they discover, evaluate, and purchase Amazon Devices and work with a high degree of ambiguity, designing best-in-class consumer experiences (user interface designs, interaction models, prototypes, etc.) in a fast-paced, startup-like environment. You will influence strategy and work closely with product management, engineering, marketing, creative direction, brand strategy, research, and company leaders to successfully go from early-stage concepts to launch, and support new Amazon Device launches as innovative technology is released to the public. You will act as a “bar raiser” for the work deployed from the User Experience team to external and internal customers and create mechanisms, frameworks, and design systems to maintain a high bar across the User Experience team. You will be an Amazon Devices “ambassador,” driving cross-organizational collaboration and sharing, and evangelize the UX work the team is doing to drive best practices throughout the company.You must be responsive, flexible, and able to deal with ambiguity, stakeholder complexity, and the fluidity of emerging technologies within an open and collaborative peer environment. You will visualize experiences in the abstract and drive that vision into solid design deliverables that achieve the customer goals and business requirements.Key job responsibilities• Collaborate and work cross-functionally with design, research, product, creative, brand, and engineering teams from design concept to design solution, setting UX guidelines, creating assets, and aiding in bug fixes to ensure bar-raising quality all the way to market.• Create the vision for developing, communicating, and implementing the user experience and follow through with the processes and tactics to fulfill the vision.• Oversee close coordination with product managers to develop a shared vision and lead the process to define the experience and design to deliver on the product’s objectives.• Use data (metric tests, usability studies, usage data) to identify opportunities and inform decisions.• Create pattern libraries, templates, and tools for a variety of users on our platform.• Identify and utilize common patterns for mobile, desktop, and e-commerce platforms.• Consider how emerging technologies can unlock new customer experiences and scale business operations.• Consider the internal tooling required to support front-end customer experiences.• Inspire, mentor, and lead a variety of designers on the User Experience team.• Work strategically with executives and team members across the organization.• Develop and nurture relationships across the team, Amazon, and disciplines to promote collaboration and efficiency on Amazon projects.About the teamWe are a global organization spanning market research, UX research, and UX design that leads the strategic direction, design strategy, innovation, and customer experience for the Devices shopping experience on Amazon.com and automation & scaling tools. We execute market & UX research that informs Device hardware, software, marketing strategies, and shopping customer experience. We design platforms and programs to support device sales and engagement in e-commerce across shopping platforms, and execute ideas from start to end. We strongly believe in a collaborative team culture and encourage cross-team partnership and bonding to drive innovation and maintain a safe and inclusive community.BASIC QUALIFICATIONS- 6+ years of design experience- Have an available online portfolio- Experience in delivering design solutions for projects of large scope and complexity ...

We are looking for a strategic Senior Manager of UX Design to lead a team of talented designers crafting thoughtful merchant-facing experiences within the Amazon’s supply chain design team. In this role, you will own the design of critical user journeys across a suite of supply chain and business management tools, enabling merchants to easily and efficiently reach their goals. You will establish a vision for a unified set of services, set goals for your area of ownership, organize your team structure to accomplish those goals, and partner closely with product and engineering leaders to move the organization forward. To be successful in this role, you must be an empathetic leader who prioritizes the success of their team, has a proven track record in coaching and mentoring highly motivated designers, excels at creative problem solving, working through ambiguity, and setting up structure to meet long-term business goals. You will not only help scale your own team, but will also work with design leaders across Amazon to create strong partnerships that move the entire team forward. Strategic management and influencing teams is critical to be successful in the role.Our team consists of highly specialized UX Designers, Visual Designers, Researchers, and Program Managers, collaborating with internal and external teams to deliver innovative customer-facing experiences merchants. As a Senior UX Design Manager, you will lead a team of individual contributors, often working across disciplines, to support a suite of products. You will be responsible for defining the end-to-end customer experience vision and ensuring its delivery across your team. You will drive clarity in complexity, reduce bureaucracy, and remove blockers to move the organization forward. Importantly, you will set the CX bar for your organization, champion continuous innovation, and drive better customer experiences across our product and engineering teams. You will insist on operational efficiency, create mechanisms to measure and drive influence and impact, and build strong, diverse teams with complementary skills.If this sounds interesting and motivating, we would love to talk to you!Key job responsibilities* You are a role model, mentor, and motivator* You are invested in growing people, developing talent, and creating an inclusive and inspiring environment* You bring deep expertise in multiple facets of UX design: interaction models, prototyping, visual and motion design, IA and design systems. * Drive consensus on design decisions through application of usability heuristics and data* You prioritize effectively, use data to inform your decisions, weigh the impact and tradeoffs of decisions, and seek input where needed to drive alignment* You work closely with product and business partners to develop a shared vision and lead a process to define and design experiences that deliver on those shared objectives* You are comfortable navigating from ambiguity to clarity, drawing upon your expertise and design process to create structure. You proactively plan ahead, look around corners, and can see the next step (even when it doesn’t exist yet)* Build and communicate empathy for the end user, aligning cross-functional peers on similar goals* You develop processes that drive quality and efficiency to help designers accomplish more than what they could otherwiseAbout the teamBuy with Prime is helping people reimagine the way they shop. Our vision is to enable every entrepreneur in the world to reach every customer in the world through every channel they can imagine. Buy with Prime is a new way to extend Prime shopping benefits—including fast, free shipping, seamless checkout experience, and free returns—to merchants’ own online stores, ultimately increasing selection for Prime members. Buy with Prime is an exciting next step in our mission to help merchants of all sizes grow their business—whether on Amazon or beyond.BASIC QUALIFICATIONS- 10+ years of design experience- 5+ years of leading multi-discipline Design teams (ie. UX, visual design, interaction design, user research, etc.) experience- Experience leading design teams of 5 to 10 or more direct reports- Experience leading a diverse team in the delivery of experiences from end to end (user flows, wireframes, high-fidelity visuals) ...

As a Sr UX Researcher, you will design, execute, and analyze user experiments to guide the development of Amazon FinTech products from a research prototype to launch. This role is on the FinTech UX Design and Research team with the impact, autonomy, flexibility, and speed of innovation of a high-growth startup, powered by the resources of Amazon. The Sr. UX Researcher will have a passion for improving the customer experience and driving high-visibility programs that will impact product designs used by millions of people. We are looking for deep thinkers, innovators and technical entrepreneurial leaders to join our design org as we embark on building the next big idea!Here at Amazon, 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 all while having fun. Our senior members enjoy one-on-one mentoring and thorough, but kind, design reviews. Key job responsibilities• Own all aspects of the user research (study design, recruiting, moderation, analysis, reporting, communicating, budgeting research), making autonomous decisions to evaluate which user research methodology approaches work, and which don’t.• Design and conduct a wide spectrum of experiments from quick informal lab evaluations with internal participants, to formal external user studies with detailed usage & behavioral analysis.• Create long-term research roadmaps and opportunity frameworks that align to and inform product strategy and goals.• Collaborate with UX designers, product managers, and engineering to evaluate prototypes, functional mockups, usability testing, A/B testing, etc.• Become a domain expert through daily use of prototypes, competitive, and complementary products to develop a deep product intuition to guide your research.• Communicate the results of your research and the impact on product design, go-live, and future user research.BASIC QUALIFICATIONS• 5+ years of hands-on experience as a user researcher or similar role.• Experience conducting UX research (study design, execution, data analysis, and devising customer insights/recommendations) with varied research methodologies and the proven ability to execute the right methodology to get the needed result. Experience with both physical device and mobile app UX.• 3+ years experience working within an entrepreneurial and iterative design process, with the skill to leverage early results to influence product design, knowing the balance between certainty of methodology and speed of execution.• A portfolio that illustrates how your research informed decision-making, showcasing deliverables, and your ability to extract actionable insights from qualitative and quantitative data.• 3+ years’ experience working alongside a product development cycle, and building relationships between business, UX, technology, and research teams• Excellent communication, interpersonal, and analytical skills including the ability to present insights clearly and persuasively to colleagues, partners and stakeholders• Bachelor's Degree in a related field.• Open to staffing this role in Seattle or NYC. ...

Do you want to help define the future of Go to Market (GTM) for Amazon Bedrock? In this role, you will be responsible for defining, building, and deploying targeted strategies to accelerate customer adoption of Amazon Bedrock and AI services across industry verticals. You will engage with product managers to influence product direction and help our customers tap into new markets by utilizing Amazon Bedrock along with other AWS Services. Amazon Bedrock hosts a number of foundation models, you will be working directly with the model providers around developing joint-GTM plans, joint-customer engagements, external/internal evangelism, and developing demos and proof-of-concepts using Amazon Bedrock.Key job responsibilitiesYou will have the opportunity to define go-to-market (GTM) strategy for Amazon Bedrock and AI Services and lead cross-functional initiatives to expand existing markets, develop scalable programs to drive adoption, and identify new opportunities. This involves activities including market sizing, working with your counterparts from across the globe to build an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners.As the ideal candidate, you possess a business and technology background that enables you to lead and drive engagements with customers from various segments, from startups to multinational enterprises. You have domain expertise in AI, Generative AI and key ML powered use cases. You have the technical depth to articulate the benefits of Amazon Bedrock, and other GenAI / AI related services and solutions to data scientists, and C-Level executives. In addition, you have a good understanding of the GenAI market trends, ecosystem, opportunities, and are passionate about market development and evangelism. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers and model providers.You will drive the development of the GTM plan for building and scaling adoption of Amazon Bedrock and AI Services, interact with customers directly to understand their business problems, and work with and model providers and our solutions architects to help them define and implement scalable GenAI solutions to solve them. You will also work closely with account teams and product teams to unblock and drive production implementations.A day in the lifeYou will need to be adept at interacting, communicating and partnering with other teams within AWS such as services teams, field solutions architecture, sales, marketing, as well as representing your team to executive management. You should be passionate about helping companies/partners understand best practices for operating on AWS. You will also look for patterns and trends that can be broadly applied across an industry segment or a set of customers that can help accelerate innovation.This is an opportunity to be at the forefront of technological transformations, as a key leader.About the teamAmazon 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. We’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. We 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.Here 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. AWS 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. BASIC QUALIFICATIONS• 6+ years of developing, negotiating and executing business agreements experience• 5+ years of AI/ML experience • 5+ years experience building out GTM Strategies ...

Are you passionate about building trusted relationships and driving innovation at scale? Amazon Autos is revolutionizing the vehicle discovery and shopping experience, connecting customers with their ideal vehicle. As a Sr. Account Manager at Amazon Autos, you'll have the opportunity to unleash your entrepreneurial spirit and tackle complex challenges alongside industry-leading professionals.As a Sr. Account Manager for Amazon Autos, you will be the primary point of contact for our valued dealer partners, serving as the bridge between Amazon and automotive retailers. In this role, you'll be responsible for fostering strong relationships with your portfolio of dealers. You'll work closely with dealers to support the onboarding of net-new dealers to our platform, resolve issues, ideate scalable solutions, and build client-relationships. Ability to manage multiple workflows in a fast-paced environment and active participation in continuous improvement initiatives are essential. Above all, you must demonstrate a high level of ownership and the ability to thrive in ambiguity.This role offers a unique opportunity to shape the future of automotive e-commerce at Amazon. You'll collaborate with cross-functional teams to implement new features, address challenges, and continuously improve our processes. As an advocate for both dealers and customers, you'll play a crucial part in enhancing the car-buying experience on Amazon. Your insights and feedback will be instrumental in refining our products and services, making you an integral part of our mission to revolutionize how people shop for vehicles online.If you're ready to take on a challenging, yet rewarding role in a start-up-like environment, we encourage you to apply for this Sr. Account Manager position on the Amazon Autos team.Key job responsibilities1. Strategic Growth: Partner with dealers to drive sustainable business growth on Amazon through data-driven insights and marketplace expertise. Create and present compelling solutions that meet and exceed customer goals. Educate Dealers on growth opportunities through tools, policies, products and programs.2. Operational Support: Drive the end-to-end onboarding process for new dealerships joining Amazon's platform. Provide tactical support with operational tasks to help the dealers onboard and effectively manage their accounts. Identify and address issues, focusing on root causes rather than symptoms.3. Field Support & Engagement: Build and maintain strong dealer relationships through regular on-site visits and store walks. Monitor account health and identify opportunities through direct engagement. Provide in-person consultation to ensure dealer success and strengthen partnerships.4. Process Improvement: Identify, develop, and implement scalable solutions that benefit a broad customer base. This includes streamlining tools and processes, simplifying standard operating procedures (SOPs), and collaborating with external teams to align programs for maximum efficiency.A day in the lifeAs a Sr. Account Manager, you will be based in our office. You will travel onsite to meet with dealers several times a year across cross several metro locations. You will work cross-functionally with our internal partners across Seller Experience, Seller Operations, Product Management, Program Management and UX and externally with GM-level dealer personnel and/or VP-level dealer group contacts. Your primary responsibilities will include: (1) supporting the overall onboarding of new dealers to our marketplace, project managing them through the process (2) partnering with dealers to drive sustainable business growth on Amazon through data-driven insights and marketplace expertise, and (3) advocating on behalf of the dealers, managing client relationships and strategizing ways to grow their business on Amazon. About the teamWe are a newly formed rapidly growing team with a vision to create innovative discovery and shopping experiences on Amazon, providing customers better convenience and more selection. We’re collaborating with other experienced teams at Amazon to define the future of how customers research and shop for products in the complex automotive space. This role is part of the Amazon Ads org and is focused on vehicle sales. BASIC QUALIFICATIONS- Bachelor’s degree or equivalent experience- 5+ years sales, account management, or customer success experience in a related industry including automotive, retail, logistics, or technology- Proven ability to manage multiple, competing priorities simultaneously- Experience analyzing data to assess and improve customer performance and/or experience- 20-25% travel required ...

As Senior Analyst, the analyst should troubleshoot customer issues related to AWS Billing and Cost management services and tools that might lead to widespread customer impact or financial risk. It requires to support three main work streams: KTLO, improving product/customer experience, and automation/process optimization.The KTLO work stream comprises serving as subject matter expertise by conducting in-depth root cause analysis and troubleshooting for AWS Insights and Optimization (AIO) (Cost Explorer, Cost and Usage Report, Budgets, Cost Anomaly Detection, etc.) and Billing Procurement Experience (BPE) (Cost Allocation Tags, Cost Categories, Billing Conductor, etc.) products related customer issues. This includes triaging and resolving customer issues, driving customer escalations to resolution by helping the customers transition to automation, leading escalation and event management (E2M), Large-scale events, onboard ticketing queues and leverage backend processes for effective resolutions on data/functional issues and save engineering teams time to focus on building/maintaining the tools.In addition, help the product/service teams by providing feature proposals (2 Pagers/1 Pagers) and recommendations for improving the product experience and capability based on customer tickets and multiple feedback streams and contribute to product roadmaps by creating Product Feature Requests (PFRs) or by adding Customer Influences (CIs) to existing PFRs. More specifically, collaborate with Product Managers on defining use cases, engaging stakeholders for approvals, writing Business Requirement Documents (BRD), Press Release/Frequently Asked Questions (PRFAQ). Analyst should Influence technical roadmaps (OP1s) by providing data driven metrics (tickets, PFRs with CIs), highlight the customer issue based on the product experience or functional capability. It also requires them to connect with PM/SDM on a monthly/quarterly cadence focused to discuss the historic trends on customer issues and product experiences, brainstorm and align on improvements. They should have the expertise to test and train/educate customer service teams to support for AIO and BPE product feature launches.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.10017Key job responsibilitiesResponsibilities:• Partner with cross-functional teams in identifying business needs, develop innovative solutions, and drive strategic initiatives that have a broader impact across the organization.• Ensure alignment and drive enterprise-wide initiatives that align with organizational goals and strategies.• Serve as a strategic partner and trusted advisor to executive leadership, influencing decision-making at the highest levels of the organization.• Possess exceptional communication and presentation skills to effectively convey complex information and influence stakeholders across AWS.• Lead cross-functional program management, perform advanced analysis and solve complex issues to influence decision-making at the executive level.• Require expertise to understand end-to-end knowledge of products, systems and processes. • Ability to propose/implement long-term scalable solutions and in the interim deliver short-term solutions.• Provide requirements to product and engineering teams based on customer friction points to improve the product/customer experience.• Analyze the risks or impact and identify the changes that may be introduced by the launch/change, proactively seek feedback from customers in evaluating the desired customer experience and test the new features to ensure customer success. • Ability to work with limited guidance and mentor individual contributors within the larger organization.• Be a strong communicator with an ability to deliver effective narratives.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.About 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.AWS 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.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. 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 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. BASIC QUALIFICATIONS- 5+ years of Microsoft Excel experience- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field- Experience with sales CRM tools such as Salesforce or similar software- Experience defining, refining and implementing sales processes, procedures and policies or equivalent ...

Are you excited by the idea of developing algorithms to improve the shopping experience for Amazon customers? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art modeling techniques? Join us and you'll help make the shopping experience better for millions of customers while also advancing the state of Amazon's science through publishing research!Key job responsibilities- Develop and apply new machine learning algorithms- Use expertise in supervised learning and causal inference to improve ML performance- Scale optimization techniques to drive business value- Design A/B tests and conduct statistical analysis on their results- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers- Present and publish science research, contributing to Amazon's science community- Mentor junior engineers and scientists.- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus areaAbout the teamOur team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Do you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently high density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking enthusiastic, hands-on, seasoned Senior Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As a Senior Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and active learning.As a Senior Applied Scientist, you will also help guide and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- 6+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Demonstrated expertise in computer vision and machine learning techniques for robotics systems. ...

This position gives you an opportunity to build metrics that shape Amazon's catalog initiatives world wide. If that rings a bell and if you possess the confidence to navigate through early stage ambiguities, read on. Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog - it powers the online buying experience for customers worldwide so they can find, discover and buy anything they want. Amazon’s customers rely on the completeness, consistency and correctness of Amazon's product data to make well-informed purchase decisions. Improving the quality of product data is a continuous process. It requires data driven decisions on what product data changes simplify and improve the Customers’ experience. Our team seeks a Sr. Applied Scientist with demonstrated experience in experimentation techniques and causal inference at scale. Our problems include attributing values to actions in complex world of catalog information driving customer behavior. The ideal candidate combines acumen in data science and causal modeling to grapple with these and other challenges and guide decision-making at the highest levels. This is an opportunity to influence catalog quality improvements across Amazon.Key job responsibilities1. Build models to attribute customer impact to specific LLM generated product data quality improvements. You will need high judgment for balancing cost efficiency of your models with accuracy of the estimates. 2. Partner with Product Managers and Engineering to build and scale new customer experience metrics 3. Build new business metrics in the A/B experimentation platform4. Guide quality improvement programs by generating actionable insightsAbout the teamWe enable teams across Amazon to run A/B experiments on product listings through Catalog Experimentation Program. Additionally, using experimentation and causal inference models, we build customer impact metrics for different experiences in Amazon stores world wide. We help Catalog data quality initiatives understand the customer impact of their work streams and influence their priorities to maximize customer benefits.BASIC QUALIFICATIONS- 4+ years of applied research experience- 2+ years of building machine learning models for business application experience- PhD, or Master's degree and 2+ years of applied research experience- Experience programming in Java, C++, Python or related language ...

As a Senior Applied Scientist specializing in Large Language Models (LLMs) and Agents in the Product Intelligence team, you will lead the development of machine learning solutions. Your work will leverage the latest LLMs and multimodal models to enhance product graphs, measure entity similarity, perform entity linking, and attribute normalization, and apply advanced reasoning methods for a deeper understanding of products. You will also lead research projects to tackle unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication. This high-impact role is critical to our core business, influencing the reliability of information for billions of products on Amazon's platform, and impacting the shopping journey for hundreds of millions of customers. The systems you build will be used to monitor Amazon's entire product selection to ensure their quality, the availability of accurate price distributions, and more.We seek an experienced scientist with deep knowledge of LLMs and Agents, and a good understanding of traditional machine learning and quantitative methods. The role will also require cross-functional collaboration skills, and staying up to date with the latest advancements in Generative AI.Key job responsibilities- Implement and deploy systems that leverage LLMs and other techniques to address some of hardest problems in the pricing space.- Set scientific standards and see the big picture to influence Amazon's long-term vision for retail pricing science.- Work cross-functionally with various teams to align machine learning initiatives with business goals and execute them successfully.- Lead research projects and participate in the publication of external academic papers at top conferences and journals.About the teamRetail pricing science is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality.BASIC QUALIFICATIONS- PhD, or Master's degree and 10+ years of applied research experience- 4+ years of applied research experience- 4+ 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 ...

Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling techniques? Join us and you'll help millions of customers make informed purchase decisions while also advancing the state of Amazon's science by publishing research!Key job responsibilities- Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization.- Use expertise in supervised and uplift learning algorithms to improve ML performance- Research and implement novel ML and statistical approaches to add value to the business.- Design A/B tests and conduct statistical analysis on their results- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area- Present and publish science research, contributing to Amazon's science community- Mentor junior engineers and scientists.About the teamOur team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience with reinforcement learning- Publication record on machine learning methods ...

Our mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We develop cutting-edge Large Language Models (LLMs) that leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.We seek a talented Applied Scientist with expertise in LLMs, speech, audio, NLP, or multimodal learning to pioneer innovations in data simulation, representation, model pre-training/fine-tuning, generation, reasoning, retrieval, and evaluation. The ideal candidate will build scalable solutions for a variety of applications, such as streaming real-time conversational experiences, including multilingual support, talking avatar interactions, customizable personalities, and conversational turn-taking. With a passion for pushing boundaries and rapid experimentation, you'll deliver high-impact solutions from research to customer-facing products and services.Key job responsibilitiesAs an Applied Scientist, you'll leverage your expertise to research novel algorithms and modeling techniques to develop data simulation approaches mimicking real-world interactions with a focus on the speech modality. You'll acquire and curate large, diverse datasets while ensuring privacy, creating robust evaluation metrics and test sets to comprehensively assess LLM performance. Integrating human-in-the-loop feedback, you'll iterate on data selection, sampling, and enhancement techniques to improve the core model performance. Your innovations in data representation, model pre-training/fine-tuning on simulated and real-world datasets, and responsible AI practices will directly impact customers through new AI products and services.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

We are building GenAI based shopping assistant for Amazon. We reimage Amazon Search with an interactive conversational experience that helps you find answers to product questions, perform product comparisons, receive personalized product suggestions, and so much more, to easily find the perfect product for your needs. We’re looking for the best and brightest across Amazon to help us realize and deliver this vision to our customers right away. This will be a once in a generation transformation for Search, just like the Mosaic browser made the Internet easier to engage with three decades ago. If you missed the 90s—WWW, Mosaic, and the founding of Amazon and Google—you don’t want to miss this opportunity.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The 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! As a Senior Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Sr. Applied Scientist will be responsible for building advanced forecasting models for Amazon Devices using the latest machine learning and deep learning techniques. They will develop scalable, accurate predictive models to drive key decision making that supports critical business decisions (including pricing, promotions and supply chain) for all of Amazon consumer hardware product lines WW. Collaborating with cross-functional teams, they will integrate these models into operational systems to enhance data-driven decision-making and optimize business outcomes. A strong focus on applying cutting-edge ML/DL methodologies and a passion for innovation will be key to success in this role.Key job responsibilities- Build and implement advanced forecasting models using machine learning techniques such as transfer learning, neural networks, and time series models, driving decisions for pricing, promotions, and supply chain optimization.- Write efficient, scalable production code (Python or equivalent) to develop and productionalize models using frameworks like TensorFlow, PyTorch, and scikit-learn, collaborating with data engineers to ensure smooth deployment into real-time systems.- Continuously optimize models through techniques like hyperparameter tuning, feature engineering, and cross-validation, leveraging tools such as TensorFlow and Keras to improve performance and scalability.- Communicate complex model results and insights using data visualization tools (e.g., Matplotlib, Seaborn) and provide actionable recommendations to cross-functional teams for pricing, promotions, and supply chain strategies.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Are you excited about developing foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for collaborative scientists, engineers and program managers for a variety of roles.The Amazon Robotics software team is seeking an experienced and senior Applied Scientist to focus on computer vision machine learning models. This includes building multi-viewpoint and time-series computer vision systems. It includes building large-scale models using data from many different tasks and scenes. This work spans from basic research such as cross domain training, to experimenting on prototype in the lab, to running wide-scale A/B tests on robots in our facilities. Key job responsibilities* Research vision - Where should we be focusing our efforts* Research delivery – Proving/dis-proving strategies in offline data or in the lab* Production studies - Insights from production data or ad-hoc experimentation. A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- 5+ years of industry or academic research experience- Experience in building machine learning models for business application- Experience programming in Java, C++, Python or related language- 5+ years of industry or academic research experience in applied research and development in computer vision and machine learning models ...

The Amazon Search Mission Understanding (SMU) team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of intelligent shopping assistants. Leveraging cutting-edge Large Language Models (LLMs), we aim to redefine navigation and decision-making in e-commerce by deeply understanding our users' shopping missions, preferences, and goals. By developing responsive and scalable solutions, we not only accomplish the shopping mission but also foster unparalleled trust among our customers. Through our advanced technology, we generate valuable insights, providing a guided navigation system into various search missions, ensuring a comprehensive and holistic shopping experience. Our dedication to continuous improvement through constant measurement and enhancement of the shopper experience is crucial, as we strategically navigate the balance between immediate results and long-term business growth.We are seeking an Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation. The ideal candidate will have a profound expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to Retrieval-Augmented Generation (RAG) models, specifically tailored towards enhancing the Rufus application—an integral part of our mission to revolutionize shopping assistance. You will take the lead in conceptualizing, building, and launching groundbreaking models that significantly improve our understanding of and capabilities in enhancing the search experience. A successful applicant will display a comprehensive skill set across machine learning model development, implementation, and optimization. This includes a strong foundation in data management, software engineering best practices, and a keen awareness of the latest developments in distributed systems technology. We are looking for individuals who are determined, analytically rigorous, passionate about applied sciences, creative, and possess strong logical reasoning abilities.Join the Search Mission Understanding team, a group of pioneering ML scientists and engineers dedicated to building core ML models and developing the infrastructure for model innovation. As part of Amazon Search, you will experience the dynamic, innovative culture of a startup, backed by the extensive resources of Amazon.com (AMZN), a global leader in internet services. Our collaborative, customer-centric work environment spans across our offices in Palo Alto, CA, and Seattle, WA, offering a unique blend of opportunities for professional growth and innovation.Key job responsibilitiesIn this role you will leverage your engineering background and expertise to help build the next generation of our mission understanding models and data collection framework. On a day-to-day basis, you will:* Interface with Applied Scientists, Product Managers, and Program Managers to determine requirements for production systems* Analyze log data to determine future system design and configure parametersBuild scalable and production-ready data pipelines to extract features from petabytes of raw dataIntegrate models and algorithms in complex, real-time production systems on immense scale* Design and execute experiments to determine the impact of models and algorithms you intend to deploy in production* Run analysis reports of web-experiments to identify benefits and risk of launching the models and algorithms* Serve as a liaison to our customer/seller-facing partner teams in case of escalationsProject manage cross-functional Machine Learning initiativesBASIC 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 Large Language Models ...

Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on projects that directly impact millions of customers, and selling partners every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others.The types of initiatives you can expect to work on include:- Developing personalized recommendation systems that help customers find the right CE products for their needs.- Creating high quality educational content leveraging complex AI techniques to simplify complex product information.- Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scaleThis Sr. Applied Scientist is also expected to play a key role in raising the AI/ML skillset within the organization, so a passion for teaching/mentoring is important. This involves bringing deep AI/ML expertise to collaborations with other scientists, leading lunch & learn session, conducting tech talks, setting up regular office hours, evangelizing lessons learned & industry best practices, and more. The ideal candidate is one who possesses notable pedigree in ML-related academic work, along with deep, real-world, hands-on experience in executing/shipping AI-based products in a fast-paced setting. You will be looked up to as an ML expert that our organization’s leadership can rely on for guidance on AI/ML topics.Key job responsibilities- Design, implement, and productionalize AI/ML products at Amazon scale, in collaboration with other applied scientists and engineers, both within Consumer Electronics and more broadly across the Stores organization,- Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure,- Leverage AWS AI services and other internal / publicly available external tools & services to accelerate our AI investments in CE Tech,- Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement,- Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency,- Mentor other scientists, especially on AI/ML initiatives, and foster a culture of learning & collaboration. Provide thought leadership and hands-on support in selecting, defining, training and fine-tuning Large Language Models (LLMs), prompt engineering, and other GenAI efforts.BASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience with neural deep learning methods and machine learning ...

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!For examples of our work, please see a selection of our publications from ECCV, ICCV and ICLR: • https://www.amazon.science/publications/diffsign-ai-assisted-generation-of-customizable-sign-language-videos-with-enhanced-realism • https://www.amazon.science/publications/text-guided-video-masked-autoencoder • https://www.amazon.science/publications/look-globally-and-locally-inter-intra-contrastive-learning-from-unlabeled-videos Key job responsibilitiesAs a Sr. Applied Scientist, your day-to-day responsibilities will include:Defining vision & technical strategy: You will collaborate with other leaders in Prime Video to define the problem we will solve long-term to serve customers. You will formulate our science and engineering strategy for achieving this vision. Execution: You will be at the forefront in bring the strategy to life. You will directly deliver key components of our science and research roadmap. You will act as a force-multiplier for other scientists in the team. Developing Others: You will mentor and coach junior scientists in the team. You will drive scientific and technical best practices for others and elevate the quality of the output produced by the entire team. About the teamOur Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation. As a Sr. Applied Scientist in our Content Understanding Team, you will lead the end-to-end research and deployment of multi-modal models applied to a variety of downstream applications. We are seeking a science leader with deep knowledge of multi-modal content understanding, including Vision Language Models (VLMs) and Multi-Modal Language Models (MMLMs). The Sr. AS will establish scientific research directions, best practices and frameworks to be leveraged across multiple teams. You will help drive the alignment of Engineering roadmaps to support scientific capabilities, and you will be a voice of future technology for our Product partners. 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 ...