Machine Learning Science

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.About the teamIt's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Does the idea of creating technology solutions for delivering 11 Billion+ packages across the globe excite you? If yes, come join a fun-loving, diverse, and creative team at Amazon Last Mile! The vision of the team is "To create Earth’s safest, most adaptive, and efficient plans for Last Mile logistics". The Last Mile Delivery Technology team is instrumental in impacting customer satisfaction directly, by devising innovative ways to deliver packages quickly and cost-effectively to the customers, and at scale using Artificial Intelligence (AI), Machine Learning and Operations Research solutions. Last Mile Delivery Technology organization supports the design, planning and execution of last mile transportation for Amazon’s various parcel and grocery delivery programs. All these programs require a large number of decision support systems to operate at scale and serve our customers, spanning demand planning, jurisdiction planning, delivery channel and network design, capacity planning for on the road and under the roof at delivery stations, routing inputs and route optimization. While these decision support systems have thus far been approached through the lens of traditional optimization and machine learning, we are looking to re-envision this space and pursue Foundational AI research, to innovate and advance the state of these decision support systems. Specifically, we are looking to develop foundational models (including Large Language Models, Multimodal Language Models, Multimodal Models), and adaptations to serve last mile use cases. Beyond Amazon the work developed will spur new fundamental knowledge and innovation in the logistics space. We are looking for candidates with knowledge and experience in designing and developing state-of-art AI solutions (including development and application of advanced deep learning algorithms, foundational models, multimodal generative AI solutions, reinforcement learning), to join our team. Demonstrated experience scaling and optimizing the training and inference of these models, building real world solutions, to meet the customer use cases is preferred. Proven track record of publishing in major AI conferences and demonstrated experience working in industry will be preferred.Job Location : Bellevue WA or Austin TX.Key job responsibilitiesCandidate will contribute to the development of Foundational AI solutions, to serve the myriad of decision support use cases across last mile. Candidate will be responsible for developing and implementing new machine learning techniques, optimizing training and inference of models, implement scalable science and engineering solutions in support of last mile planning and operations. You will be working with a team of scientists and engineers, helping shape the strategic and tactical vision, and contribute hands on to foundational research efforts in last mile. A day in the lifeSitting at the core of Amazon’s Last Mile business, Routing and Planning (RaP) invents technology solutions that deliver toward the RaP vision: to create earth’s safest, most adaptive, and efficient plans for Last Mile logistics. RaP serves a diverse set of external and internal customers. For Amazon End Customers and transporters, we build solutions to deliver 11B packages and services to arrive at the right place and time, while meeting the growing preference for speed and precision. For internal customers, we build and delivery routing solutions Worldwide adding up to a $1B USD, across multiple amazon businesses ranging from Amazon Logistics, Amazon X-tra Large to Same/Sub-Same Day Deliveries, Fresh and Groceries etc using multiple mode of transports. If the opportunity to innovate, create and deliver first-time solutions alongside world-class engineers and scientists e.g. building a new delivery foundational model from scratch utilizing data at an unprecedented scale in the industry excites you, this is the place for you. About the teamThe Last Mile (LM) Science organization serves two primary functions: (1) maintaining and enhancing the components which provide the essential intelligence in nearly every LM system, and (2) creating the science which will enable the continued growth of Amazon in the future. The systems used on a daily basis by the Last Mile to deliver packages from the station to the customer’s doorstep contains embedded models developed by the science team, or relies on inputs derived from these models. These models determine how efficiently Amazon can serve its customers and at what cost.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 ...

At Prime Video we are inventing a customer-centric future that offers more choice and flexibility than traditional Cable, Satellite television and other streaming providers. Where you can watch video content such as Prime Originals (Fallout, The Boys, The Marvelous Mrs. Maisel), movies, TV shows, Live sports (Thursday Night Football, English Premier League), local programming and hundreds of add-on subscriptions such as HBO max and Paramount+, anytime anywhere. All on your terms instead of having to pay for an expensive one-size-fits-all bundled package or be locked into long term contracts.The Core Playback organization operates at a global scale and is a critical part of Prime Video’s flywheel. We own Prime Video's core streaming technology and playback experience across all devices including Android phones and tablets, iOS devices, Web, Living Room Smart TVs, set top boxes, Windows10, Mac OSX, gaming consoles in more than 200 countries and territories. The technology landscape in streaming playback is rapidly changing. The Principal Scientist role in Core Playback reports to the Director of the organization with the intention of steering our science strategy across a wide range of areas. Key job responsibilitiesAs a Principal Applied Scientist in the Prime Video Core Playback organization you will have deep subject matter expertise in applied machine learning. You will work with multiple teams of scientists, engineers and product managers to translate business and functional requirements into concrete deliverables. The field of Artificial Intelligence and Machine learning is experiencing unprecedented innovation and while it is important to know how recent advancements, such as GenAI, can be applied to develop new approaches to improve customer, developer and business outcomes, you'll work backwards from the desired outcomes to determine which ML technique is best applicable (traditional ML, GenAI, etc). Problem spaces you will be working on include: improving the customer streaming experience, video streaming and delivery heuristics in the PV apps, generating actionable insights from large scale of playback telemetry data, reducing the cost/effort/time to detect defects in customer's playback Quality of Experience (QoE) , applying ML to all aspects of the software development process to allow us to develop and release features faster and improving streaming playback quality and reliability. You will also work with external academic partners to support our in-house talent with direct access to cutting edge research and mentoring.BASIC QUALIFICATIONS- 10+ years of tech industry or equivalent experience- Experience working effectively with science, data processing, and software engineering teams- Graduate degree in Computer science/Math or related field.- Experience in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch- Computer Science fundamentals in data structures, algorithm design and complexity analysis.- Ability to develop a machine learning strategy for non-traditional areas such as developer productivity, software quality assurance (testing), availability, app performance/fluidity and latency reduction.- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions.- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. ...

Amazon continues to invest heavily in building our world class advertising business. Our products are strategically important to our Retail and Marketplace businesses, driving long term growth. We deliver billions of ad impressions and millions of clicks daily, breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and strong bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Sponsored Products OSSR team is responsible for all non-search supply and associated experiences.As an Applied Scientist on our team, you will be responsible for defining the science and technical strategy for one of our most impactful strategic initiatives, creating lasting value for Amazon and our advertising customers.Key job responsibilities• Support business, science and engineering strategy and roadmap for Sponsored Products OSSR projects• Drive alignment across organizations for science, engineering and product strategy to achieve business goals• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers• Develop state of the art experimental approaches and ML models.About the teamSponsored Products (SP) is Amazon's largest and fastest growing business. Over the last few years we grown to a multi-billion dollar business. SP ads are shown prominently throughout search and detail pages, allowing shoppers to seamlessly discover products sold on Amazon. Ad experience and market place is one of the highest impact decisions we make. This role has unparalleled opportunity to grow our marketplace and deliver value for advertisers and shoppers.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 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 ...

Amazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Key job responsibilities* Invent, implement, and deploy state of the art machine learning and deep learning models and systems for information security applications.* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.* Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.* Report results in a scientifically rigorous way.* Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.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.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 field experience in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field.- Working knowledge of natural language processing (NLP) or large language model (LLM).- Experience with unsupervised learning, semi-supervised learning and continual learning.- Hands-on experience in predictive modeling and analysis.- Algorithm development experience.- Proficient in coding with at least one of the following: Java, C++, Python, Scala, Rust or other programming language.- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning. ...

Job SummaryAWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for the Cloud Optimization service portfolio (AWS Health, Well-Architected, Trusted Advisor). We are looking for a Principal Scientist to join us and lead/spearhead the AI revolution through innovative solutions inspired by customer needs. A Principal Scientist in Kumo is a hands-on contributor who 1/ Understands the latest trends and developments in AI/GenAI space and able to apply this innovation to solve customer challenges. 2/ Effectively partners across AWS AI/GenAI services to influence and drive investment prioritizations. 3/ Mentors to elevate the organization’s excellence in AI/GenAI. 4/ Represents the organization strategically in front of customers, partners, and other AWS leaders. Evangelize our AI/GenAI innovations, results, and impact. You will partner with go-to-market, support, and service leaders to identify, define, and shape the investment direction of our products with a vision, strategy, and develops innovative solutions for hard, previously unsolved problems. You will work closely with engineering teams to define the architectures and solutions that transform algorithms to services operating at AWS scale. This role will give you the opportunity to drive the design and delivery of large-scale cross-AWS projects while moving the needle disproportionately for the Support business. In this role, you’ll define and drive architectural innovation of existing and new services to help AWS customers optimally architect, develop, and operate for the cloud. You’ll think beyond the immediate team and project needs and focus on how to reduce operational complexity. You’ll provide technical vision in achieving business goals. Your responsibilities will include: * Influence at all levels – from business strategy to implementation. You will own direct technical contributions for some areas and in others you will influence and direct at the architectural level.* Lead by example, demonstrating technical excellence that other engineers aspire to follow. Taking time to mentor and develop members of each team.* Define the next generation of Cloud Optimization architecture, working closely with business owners, service teams, Principal Engineers, and Solution Architects to leverage proven design patterns and existing services to reduce existing complexity, duplication, and cost.* Solve ambiguous problems and deliver high impact customer driven products, such as real-time visibility into customers’ experiences and impacts during AWS service events, derive customer insights, generate summary of customers’ posture for security, cost, resilience, etc.* Drive operational excellence and best practices across the teams.* Work with minimal guidance, engaging engineering teams across the organization to deliver results, while responding efficiently to multiple program priorities. In addition, you’ll have the opportunity to analyze the latest technologies and development trends, establishing and implementing standard practices for the organization’s engineering teams. The ideal candidate will be able to exercise strong judgment in balancing technical leadership and business goals.About the teamAWS Kumo is a global product and technical organization dedicated to helping AWS customers succeed in their cloud journey. Kumo owns critical cloud services used by all AWS customers to build, optimize, and operate at scale. Our broad portfolio of services includes AWS Health (https://aws.amazon.com/premiumsupport/technology/aws-health-dashboard/), Trusted Advisor (https://aws.amazon.com/premiumsupport/technology/trusted-advisor/), Well-Architected (https://aws.amazon.com/architecture/well-architected/), re:Post (https://repost.aws/), Recommendations & Insights, Self-service Automation, Support Center (https://console.aws.amazon.com/support/home/?nc2=h_ql_cu), and more, as well as all the internal tooling used by our global support organization to provide exceptional customer support.Kumo is a people-first organization doing world-class innovation at scale. We are globally distributed, with larger teams across the United States, Canada, South Africa, Costa Rica, Australia, and other geographies. We are always looking for exceptional technologists and leaders who would like to join us on this journey. By joining Kumo, you will work with all AWS customers, from big and diverse enterprises to small cutting-edge startups, helping them achieve success in their cloud journeys. We are delivering product and technological innovation that transform the way our customers run their businesses. Our industry-leading product portfolio cuts across a wide range of technologies — from Distributed Systems to Machine Learning — at Amazon scale. We are a fast-growing, agile and collaborative team of individuals with diverse backgrounds from all parts of the globe. We combine the culture of a startup, the innovation and creativity of an R&D lab, the work-life balance of a mature organization, and AWS-scale technical challenges. Join us!BASIC QUALIFICATIONS* Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field.* 7+ years of experience in AI and Machine Learning in industry.* Proven experience with a track record of thought leadership and contributions that have advanced the a business, customer experience. * Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. * Excellent written and verbal communication skills. ...

Amazon's Pricing & Promotions Science is seeking a driven Principal Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to build and scale an advanced self-learning scientific price estimation and product understanding system, regularly generating fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.We are looking for a talented, organized, and customer-focused technical leader to join our Product Intelligence science group, with a charter to derive deep neural product relationships, quantify substitution and complementarity effects, and publish trust-preserving probabilistic price ranges on all products listed on Amazon.This role requires an individual with excellent scientific modeling and system design skills, outstanding business acumen, and an entrepreneurial spirit. We are looking for an experienced leader who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.Key job responsibilities- Develop the team. Mentor a highly talented group of applied machine learning scientists & researchers. - See the big picture. Shape long term vision for Amazon's science-based competitive, perception-preserving pricing techniques- Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale- Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems- Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.- Deliver Impact. Develop, Deploy, and Scale Amazon's next generation foundational price estimation and understanding systemAbout the teamWithin Pricing & Promotions Science, the Product Intelligence team leverages planet scale multi-modal data on billions of Amazon and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation. We preserve long term customer trust by ensuring Amazon's prices are always competitive and error freeBASIC QUALIFICATIONS- Ph.D. or Master's degree in Computer Science, Statistics, Machine Learning, Natural Language Processing, Financial Modeling, or related field.- 10+ years of broad AI/ML research experience on large-scale industry problems in pricing, time series, forecasting, trading, recommendation, or natural language domains- 5+ years of experience technical leadership of applied science teams- 5+ years of experience with AWS or Amazon ML tech stack and tooling- Expertise in deep learning methods- A track record of balancing project delivery with longer term research, demonstrated via publications, or contributions to the open source community.- Proficiency in programming languages such as Python and frameworks like TensorFlow, PyTorch- Proven written and verbal technical communication with the ability to present complex topics clearly to audiences with varying levels of technical familiarity ...

Our team drives innovation for the onsite retail shopping site publisher. We collaborate and influence the advertising science community at Amazon across the entire Ads stack— sourcing and ranking ads, bidding into and pricing in the ads auction, experimentation design to measure causal impact of showing ads on shoppers and Amazon vendors, creative development with GenAI, and more. If you’re interested in joining a unique, highly respected advertising group with a relentless focus on the customer, you’ve come to the right place. As we continue building to out our team, we are looking for a Principal Applied Scientist, to lead research, design, experiment and implementation of cutting edge algorithms for complex Stores Display publisher use cases. You will collaborate with Amazon demand programs and front-end teams to influence how the entire advertising stack works end-to-end. You will work with business and finance teams to design experiments that inform tradeoffs across advertiser and shopper goals. You will work collaboratively with software engineers, data engineers, and other scientists on the team to deploy production algorithms that support the billions of ad auctions run daily and set a high bar for science and engineering excellence. This is a rare opportunity to be a foundational member with huge potential for impact and innovating new user experiences at Amazon. Why you will love this opportunity: Despite being part of a large business, we embrace a start-up mentality. This is an opportunity for massive impact and affords a lot of autonomy.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.Key job responsibilitiesAs a Principal Applied Scientist on this team, you will:- Be the technical science leader on the org; leading efforts within his team and across other teams.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and retail 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.About the teamAmazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on some of the most valued advertising real estate on the internet on the Amazon.com store. We start with the customer and work backwards in everything we do, including advertising. BASIC QUALIFICATIONS* 10+ years of building models for business application experience or applied research in industry settings* PhD, or Master's degree in CS, Statistics,, ML or related fields* Experience programming in Python or related language* Experience in any of the following areas: algorithms and data structures, optimal control, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences leveraging the latest advances in generative AI, and Amazon’s tremendous computational resources. What do you get? An unparalleled opportunity to deliver transformational experiences that impact customers everyday lives.Are you passionate about working on disruptive ideas? Are you obsessed with finding and building the most innovative and customer-friendly user experiences? Have you built and launched new experiences that impact shoppers all around the world? This is a unique full-stack opportunity that combines the ability to build exciting, new user experiences for Amazon's customers with the opportunity to work with Generative AI and other advanced techniques to provide the best personalized experience for hundreds of millions of Amazon customers.Key job responsibilitiesAs an Applied Scientist in the Amazon Profiles team in Personalization, your work delivers transformational, AI-powered end-to-end experiences to seek to understand each customer uniquely and deeply. You will use the latest ML and generative AI-powered methods to power new personalized experiences. Amazon Profiles represents a highly-visible charter, with exposure and sponsorship at the S-Team level. We leverage our understanding of each customer to personalize the moments that matter along the Shopping journey, while making it easy for customers to tell us when we get it wrong. We leverage generative AI to use this deep customer insight to help our customers more confidently navigate their shopping journey. We partner closely with teams across Amazon to deliver a unified and cohesive experiences. Come join us as we transform Amazon into a deeply personal and relevant store!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 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 ...

We’re building a foundational LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We 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!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- • 2+ experience in leading a team to solve challenging machine learning problems with quantitative approaches- • Experience in patents or publications at top-tier peer-reviewed conferences or journals- • Experience with LLM model training, large scale training data curation, training/inference optimization. ...

Are you a scientist interested in pushing the state of the art in Generative AI, LLMs, LMMs? Are you interested in working on ground-breaking research projects that will lead to great products and scientific publications? Do you wish you had access to large datasets? Answer yes to any of these questions and you’ll fit right in here at Amazon.We are looking for a hands-on researcher, who wants to derive, implement, and test the next generation of Generative AI algorithms in multiple projects ranging from Computer Vision, ML, and NLP. The research we do is innovative, multidisciplinary, and far-reaching. We aim to define, deploy, and publish cutting edge research. In order to achieve our vision, we think big and tackle technology problems that are cutting edge. Where technology does not exist, we will build it. Where it exists we will need to modify it to make it work at Amazon scale. We need members who are passionate and willing to learn. Key job responsibilities- Derive novel computer vision, machine learning, and NLP algorithms.- Define scalable computer vision, machine learning and NLP models.- Invent the next generation of Generative AI models.- Work with large datasets.- Work with software engineering teams to deploy your - Publish your work at top conferences/journals.- Mentor team members.A day in the lifeWe are a team of seasoned scientists. We work on science problems and publish our results at major scientific conferences. We work with multiple other science teams at Amazon.About the teamWe are a tight-knit group that shares our experiences and help each other succeed. We believe in team work. We love hard problems and like to move fast in a growing and changing environment. We use data to guide our decisions and we always push the technology and process boundaries of what is feasible on behalf of our customers. If that sounds like an environment you like, join us.We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USABASIC QUALIFICATIONS- A PhD in CS, ECE, Statistics or in a related, highly quantitative field.- Extensive research expertise in generative AI, computer vision, machine learning, or NLP.- 10+ years of hands-on experience in computer vision, machine learning, or NLP.- Proven record of developing new approaches, algorithms, application areas, etc.- Excellent communication skills.- Excellent skills in problem solving, programming, and computer science fundamentals.- Solid background in statistics, math, CS, machine learning, and computer vision or NLP. ...

Join us in a historic endeavour to make Computer Vision accessible to the world with breakthrough research! The AWS AI Labs: Vision team has a world-leading team of researchers and academics, and we are looking for world-class colleagues to join us and make the AI revolution happen. Our team of scientists develops the algorithms and models that have powered AWS computer vision services such as Amazon Rekognition, Amazon Textract, and Amazon Lookout for Vision. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. AWS is the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems which will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. Our research themes include, but are not limited to: few-shot learning, transfer learning, unsupervised and semi-supervised methods active learning and semi-automated data annotation, large scale image and video recognition, face detection and recognition, document OCR and scene text recognition, document understanding, 3D scene and layout understanding, and localization and mapping. We are hiring for all our locations in the USA (Seattle, Pasadena, Bay Area) and Israel (Haifa and Tel Aviv). About Us Inclusive Team Culture Here 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 Balance 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. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth 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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. 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. About the teamAbout AWSDiverse 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. This team is part of AWS Utility Computing: 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.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 ...

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.As an Applied Scientist on our team, you will be working with talented scientists, engineers, and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements and has experience in Natural Language Processing, Ads recommendation systems, information/evidence retrieval and/or LLM prompt engineering. 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!We are open to hiring candidates to work out of one of the following locations:Seattle, WA and New-York, NYKey job responsibilities- Serve as the Science lead in defining the Science charter for the team (for an entirely new space using LLMs) & leading other AS on the team- Build POCs, experiment, optimize and deploy models into production- Partner with other Science teams within the org to deliver features for a net new shopper experience - Run experiments/weblabs and be able to perform statistical analysis- Mentor other scientists on the team- Partnering with Principal PMT and SDM to influence the Product strategyNice to have - Experience in Ads recommendations & information / evidence retrieval - Experience working with Large Language Models & Prompt EngineeringBASIC 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 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 ...

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovation.You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await!Key job responsibilities* Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.* Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams.* Mentor and develop junior scientists on the teamBASIC 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 ...

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 and engineers 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 ...

The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs part of the AGI team, an Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. An Applied Scientist will also have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. A day in the lifeAn Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice. The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable, scalable and high-performance products that require exceptional technical expertise, and a sound understanding of Machine Learning.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with Large Language Models (LLMs) or multimodal architectures ...

The Artificial General Intelligence (AGI) Information team is looking for a passionate, and talented Senior Applied Scientist with a strong experience in cutting-edge LLM technologies. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and you will get to immediately apply your results in highly visible Amazon products.If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience working in high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions. About the teamIt's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!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 ...

Are you excited about using decision (optimization) and data (ML) sciences to make multi-million dollar decisions more Data, Science and Analytics Driven? Are you interested in price optimization, promotion planning and what-if simulations to enable in-period promotion and long-term financial planning? Do you want to be a part of a multi disciplinary science team focuses on tackling some of the big business problems with within the Devices business at Amazon? Then this could be the role for you!The Amazon Devices & Services Demand Planning and Product Development (DEPD) team is seeking an outstanding scientist with strong analytical and communication skills to help with pricing optimization and promotion planning for the entire Amazon device family of products and services. Amazon Devices represents a highly complex space with 100+ products across several product categories that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices for sale both online and in offline retailers globally.We develop scalable and robust state-of-the-art deterministic and stochastic optimization models and algorithms, and what-if scenario planning simulation tools with (linear and dynamic) price optimization and promotion planning. With better price optimization and promotion planning, we manage demand and drive down promotion and supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers globally.We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering and/or Simulation.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and HOTW decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Promotion Optimization and Scenario Planning Capabilities for in-period promotion, and long-term financial planning. You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.Key job responsibilities- Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment- Collaborate with cross-functional teams including product management, marketing, and operations to translate model insights into actionable business strategies- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities - Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models - Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches- Create and track accuracy and performance metrics (both technical and business metrics)- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders- Drive best practices on the team; mentor and guide junior members to achieve their career growth potentialA day in the lifeOur 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 assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamThe vision for Cognitive Science Team is to deliver science-enabled HOTW demand planning and shaping solutions for Devices Product Lines to support our partners’ decision making processes. We will accomplish our vision by (1) utilizing accelerated applied science with optimization, simulation, scenario planning, Machine Learning and Generative AI (in 2025), (2) performing rapid research & innovation, developing incremental products, and automating processes, (3) developing optimized price and promotion planning, (4) developing high confidence long-lead time marquee unit demand forecasts for Amazon Devices.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 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- Experience in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic and/or dynamic ...

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences.Key job responsibilities- Develop ML/GenAI-powered solutions for automating defect elimination workflows- Implement scalable and efficient scientific solutions in production environments- Design and implement robust metrics to evaluate the effectiveness of ML/AI models- Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA 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:- Medical, Dental, and Vision Coverage- Maternity and Parental Leave Options- Paid Time Off (PTO)- 401(k) PlanIf 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 applyBASIC QUALIFICATIONS- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field- 3+ years of building deep learning or machine learning models for business application experience- Deep knowledge in one or more areas of machine learning or deep learning- Experience programming in Java, Python or related language ...

At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in machine learning, artificial intelligence and related fields.Amazon scientists employ the company's working backwards method to identify problems to solve on behalf of customers in research areas ranging from machine learning to operations, GenAI, robotics, quantum computing, computer vision, economics, search, sustainability and more.Learn more about Amazon Science here: https://www.amazon.science/We are hiring across multiple businesses and in many locations across the US. Apply here to learn more about open roles that could be a compelling fit for your background. Key job responsibilitiesYou will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).BASIC QUALIFICATIONS- 10+ years minimum of hands-on science application experience- PhD in a relevant technical field (or equivalent experience in some cases) ...