Careers

Are you fascinated by the science of learning, how individuals’ learn, and how learning continues to evolve? Are you driven to design and conduct experiments, collect and analyze data, interpret results to solve problems, and transform the way we learn and interact with technology? Are you passionate about applying scientific approaches, principles, and methods to solve complex challenges in learning and credentialing? If so, AWS Training & Certification (T&C) team has an exciting opportunity for you as an Research Scientist. A T&C Research Scientist will have deep industry knowledge, leverage technology (AI/ML tools), analyze data, experiment, stay current with trends, identify opportunities, aid in product and strategy development, and provide insights for T&C around the science of learning and what is coming. The role requires extending existing scientific techniques and inventing new ones to understand how learners learn and how learning evolves. You will envision new ways to solve customer problems, create innovative experiences, and enable organizations to solve business problems through upskilling their workforce. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You’ll maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible development to deliver measurable customer impact. The work will challenge you to be resourceful, think big while staying connected to the details, translate research, data, and advanced analytics into strategic direction, and embrace a high degree of change and speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. Candidates should have end-to-end experience conducting research, as well as advanced modeling skills to uncover perception drivers. They have proficiency in diving deep into large amounts of data and translating research into actionable insights/recommendations. You are an excellent writer who can effectively communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business so you can tailor research that informs stakeholder decision making and strategic tactics. As an Research Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for current and future learners, developers, and organizations. You will be a part of a global team that is focused on transforming how people learn. The position will interact with global functional teams and business and technical organizations. Please visit https://skillbuilder.aws to learn more. Key job responsibilities * Engage in strategic discussions with teams to ensure research generates actionable and on-point findings. * Apply your expertise in scientific research and analysis to design, experiment, and conduct scalable research projects that address opportunities in learning and credentialing for international audiences. * Identify opportunities to simplify existing research processes and operate more nimbly. * Collaborate with cross-functional teams, including engineers, business, product, and others to define requirements, establish success metrics, and deliver high-quality solutions. * Use advanced statistical methodologies to understand relationships between key metrics and other related measures (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.). * Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance T&C operational performances and customer experiences. * Continuously explore/evaluate emerging methodologies to improve the accuracy and efficiency of research. * Analyze performance of methods and models, iteratively improving them based on quantitative metrics and feedback. * Communicate concepts and findings effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on opportunities and their potential impact. * Contribute to team's strategic planning, goals, priorities, and technical roadmaps. * Publish research findings in internal reports and external peer-reviewed when aligned with business needs A day in the life Your work will be resourceful, thinking big, while staying connected details, translate research, data, and advanced analytics into strategic direction, and embrace change and speed. You will be responsible for conducting end-to-end research, as well as leveraging modeling skills to uncover drivers. You dive deep into large amounts of data and translate research into actionable insights/recommendations. You communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business and tailor research that informs stakeholder decision making and strategic tactics. About the team The AWS Training and Certifications (T&C) team is dedicated to cultivating millions of highly skilled cloud professionals by delivering industry-leading training products and experiences, and certifications. 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.

Are you fascinated by the science of learning, how individuals’ learn, and how learning continues to evolve? Are you driven to design and conduct experiments, collect and analyze data, interpret results to solve problems, and transform the way we learn and interact with technology? Are you passionate about applying scientific approaches, principles, and methods to solve complex challenges in learning and credentialing? If so, AWS Training & Certification (T&C) team has an exciting opportunity for you as an Research Scientist. A T&C Research Scientist will have deep industry knowledge, leverage technology (AI/ML tools), analyze data, experiment, stay current with trends, identify opportunities, aid in product and strategy development, and provide insights for T&C around the science of learning and what is coming. The role requires extending existing scientific techniques and inventing new ones to understand how learners learn and how learning evolves. You will envision new ways to solve customer problems, create innovative experiences, and enable organizations to solve business problems through upskilling their workforce. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You’ll maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible development to deliver measurable customer impact. The work will challenge you to be resourceful, think big while staying connected to the details, translate research, data, and advanced analytics into strategic direction, and embrace a high degree of change and speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. Candidates should have end-to-end experience conducting research, as well as advanced modeling skills to uncover perception drivers. They have proficiency in diving deep into large amounts of data and translating research into actionable insights/recommendations. You are an excellent writer who can effectively communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business so you can tailor research that informs stakeholder decision making and strategic tactics. As an Research Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for current and future learners, developers, and organizations. You will be a part of a global team that is focused on transforming how people learn. The position will interact with global functional teams and business and technical organizations. Please visit https://skillbuilder.aws to learn more. Key job responsibilities - Engage in discussions with teams to ensure research generates actionable and findings. - Apply your expertise in scientific research and analysis to design, experiment, and conduct scalable research projects that address opportunities in learning and credentialing for international audiences. - Identify opportunities to simplify existing research processes and operate more nimbly. - Collaborate with cross-functional teams, including engineers, business, product, and others to define requirements, establish success metrics, and deliver high-quality solutions. - Use statistical methodologies to understand relationships between key metrics and other related measures (e.g., regression, structural equation modeling, etc.). - Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance T&C operational performances and customer experiences. - Continuously explore/evaluate emerging methodologies to improve the accuracy and efficiency of research. - Analyze performance of methods and models, iteratively improving them based on quantitative metrics and feedback. - Communicate concepts and findings effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on opportunities and their potential impact. A day in the life Your work will be resourceful, thinking big, while staying connected details, translate research, data, and advanced analytics into strategic direction, and embrace change and speed. You will be responsible for conducting end-to-end research, as well as leveraging modeling skills to uncover drivers. You dive deep into large amounts of data and translate research into actionable insights/recommendations. You communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business and tailor research that informs stakeholder decision making and strategic tactics. About the team The AWS Training and Certifications (T&C) team is dedicated to cultivating millions of highly skilled cloud professionals by delivering industry-leading training products and experiences, and certifications. 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.

The Selling Partner Communities (SPC) organization is dedicated to ensuring every Selling Partner (SP) achieves satisfaction with their Amazon selling experience. SPC serves as a vital bridge between sellers/vendors and Amazon, creating and managing platforms where they can connect, share knowledge, and receive help. The team's mission encompasses listening to SP feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. We are seeking a Sr. Applied Scientist to join our Communities team. The successful candidate is a skilled scientist capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. Key job responsibilities The Senior Applied Scientist in the Selling Partner Communities (SPC) organization plays a crucial role in developing and implementing advanced AI and machine learning solutions to enhance the selling partner experience on Amazon. This role requires strong ownership of all technical aspects throughout the full project lifecycle, while partnering closely with the business to define requirements and exercise good judgment in balancing speed and complexity. As a senior AS on our team you will: - Handle challenging problems that directly impact millions of selling partners - Independently collect and analyze data - Design, develop and deliver scalable models, using any necessary programming, machine learning, and statistical analysis software - Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research - Consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software - Participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the SPC organization - Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. About the team The Selling Partner Communities (SPC) organization serves as a vital bridge between SPs and Amazon, creating and managing platforms where sellers can connect, share knowledge, and receive help. The team's mission encompasses listening to feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. Within SPC, the Science team plays a critical role in leveraging artificial intelligence and machine learning technologies to enhance seller experiences and drive data-driven decisions. The team serves as technical advisors helping shape the organization's scientific vision and strategy, identifying and tackling intrinsically hard, previously unsolved problems that require novel scientific approaches. The team focuses on developing comprehensive frameworks for measuring and monitoring seller sentiment, improving content discovery and engagement, enhancing operational efficiency for Community Assistance Managers (CAMs), bringing clarity to complex challenges through scientific expertise, and creating AI-powered tools for content generation and validation.

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a highly innovative product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Science manager to join our Applied AI team and lead a cross-functional team of scientists and engineers who work on LLM-based solutions. On our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. You will be responsible for leading a cross functional team of scientists and engineer and developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. You will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. We are seeking an experienced Senior Applied Science Manager who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in leading teams that build highly scalable systems and system design, have excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. Your work will directly impact our customers in the form of novel products and services.

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 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. We are seeking a science leader for our team within the Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! Key job responsibilities - Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs. - Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Work closely with product managers to contribute to our mission, and proactively identify opportunities where science can help improve customer experience - Research new machine learning approaches to drive continued scientific innovation - Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences - Help attract and recruit technical talent, mentor scientists and engineers in the team

Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape. Key job responsibilities As a key member of our team, you'll be at the forefront of innovation, where cutting-edge research meets real-world application: - Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence - Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale - Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide - Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance - Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP) - Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems About the team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency. Broadly, 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. 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 Culture 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth 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. Work/Life Balance 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. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.

Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape. Key job responsibilities As a key member of our team, you'll be at the forefront of innovation, where cutting-edge research meets real-world application: - Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence - Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale - Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide - Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance - Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP) - Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems About the team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency. Broadly, 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. 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 Culture 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth 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. Work/Life Balance 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. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities The Principal Applied Scientist will drive transformative innovation in Sponsored Products and Brands (SPB) auction design across non-search surfaces, including product detail pages, the home page, and specialty stores. This role will be pivotal in rethinking how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. The key responsibilities include but are not limited to: Improving Auction Mechanism: The Principal Scientist will reimagine auction mechanisms to holistically optimize business drivers, shopper needs, and ad placement across non-search pages. This involves developing new auction functions through both offline simulation and online testing that consider ad relevance, ads revenue, and advertiser demand, while remaining sensitive to seasonality and bespoke shopping experiences. Moreover, they will also design, prototype and iterate models that continually improve efficiency and effectiveness of ad inventory allocation with the objective of maximizing value delivered for both shoppers and advertisers, while consistently delivering a clear customer value proposition. Advancing Scientific and Technical Capabilities: As a senior leader, the Principal Scientist will play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. They will establish a long-term vision for continued scientific innovation, setting strategic goals to future-proof the organization’s technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally, the scientist will mentor and guide junior scientists and engineers, fostering a culture of excellence and continuous learning to enhance the organization’s ability to solve complex problems in advertising science. Through his/her work, the Principal Applied Scientist will directly impact key business metrics by improving ad relevance and auction efficiency, ultimately contributing to revenue growth, improved customer satisfaction, and differentiated shopper experiences. About the team The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value.

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? If so, we have an exciting opportunity for you! Amazon Translations Services (TS) is seeking an Applied Science Manager to be based in our Hyderabad office. As a leader of the Science team of TS, this person will be responsible for leading their team in designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The goal is to build solutions with minimal human touch involved in any language translation and ensure accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. This role requires strong technical skills, a deep understanding of machine learning approaches, and a solid grasp on NLP, LLM and V-LLM techniques to solve complex language translation challenges. You must have a demonstrated ability for optimizing, developing, launching, and maintaining large-scale production systems. As a key member of the team, you will oversee all aspects of the software lifecycle: design, experimentation, implementation, and testing. You should be willing to dive deep when needed, move rapidly with a bias for action, and get things done. You should have an entrepreneurial spirit, know how to deliver, and long for the opportunity to build pioneering solutions to challenging problems. This role will demand resourcefulness and willingness to learn on both the technical and business side. Key job responsibilities In this role, you will work closely with business partners, applied scientists, software development engineers, and product managers to accelerate building solutions to expand translation capabilities. You will have significant influence on our overall strategy by helping define science and engineering strategy, define product features, drive system architecture, and spearhead the best-practices that enable a quality product. You will also influence the development processes, and develop well-rounded skills such as leadership, and effective project management. Building a strong development team and developing career plans for the scientists and engineers reporting to you will be a key responsibility. Throughout, you should possess creativity, curiosity, and excellent judgment to thrive in an environment of ambiguity. A day in the life You will spend your days collaborating with scientists, developers, customers, stakeholders, and converting the business needs into a data-driven solution. You will support a team to design and execute science products. You will dive deep into the data and balance technical execution with longer term strategy. You will grow and develop your team.

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced ML systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for India Consumer Businesses. Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has exploded. We have a very broad collection of practical problems where machine learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation. These include product bundle recommendations for millions of products, safeguarding financial transactions across by building the risk models, improving catalog quality via extracting product attribute values from structured/unstructured data for millions of products, enhancing address quality by powering customer suggestions We are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Key job responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real-time model implementations Work closely with business partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About the team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. Learn more about our team from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide