Careers

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. A day in the life A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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.

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.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Applied Scientist within this initiative, you will be a technical leader helping to design and build the intelligent systems that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient agentic AI and ML solutions from the ground up. You will not only write high-quality, maintainable software and models, but also mentor other scientists, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come. Key job responsibilities • Lead the design and architecture of highly scalable, available, and resilient services for our AI automation platform. • Write high-quality, maintainable, and robust code to solve complex business problems, building flexible systems without over-engineering. • Act as a technical leader and mentor for other engineers on the team, assisting with career growth and encouraging excellence. • Work through ambiguous requirements, cut through complexity, and translate business needs into scalable technical solutions. • Take ownership of the full software development lifecycle, including design, testing, deployment, and operations. • Work closely with product managers, scientists, and other engineers to build and launch new features and systems. About the team This role offers a unique opportunity to shape the future of one of Amazon's most exciting businesses through the application of AI technologies. If you're passionate about leveraging AI to drive real-world impact at massive scale, we want to hear from you.

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

The Sponsored Products and Brands 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. The Conversational Ad Experiences team within Sponsored Products and Brands is a cross-functional team focusing on designing, developing and launching innovative ad experiences 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. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! As an Applied Scientist II in the Conversational Ad Experiences team, you'll be working with 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 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. Key job responsibilities - Drive end-to-end generative AI projects that have a high degree of ambiguity, scale, complexity. - Perform hands-on analysis of data sets to identify insights and build models that enhance traffic monetization, merchandise sales, and the overall shopper experience. - Train generative AI and machine learning models, run proof-of-concept experiments, optimize, and deploy models at scale in production - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Research new and innovative generative AI and machine learning approaches. - Work closely with product managers to contribute to our mission, and proactively identify science opportunities to drive business. - Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences.

The Sponsored Products and Brands 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. The Conversational Ad Experiences team within Sponsored Products and Brands is a cross-functional team focusing on designing, developing and launching innovative ad experiences 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. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! As an Applied Scientist II in the Conversational Ad Experiences team, you'll be working with 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 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. Key job responsibilities - Drive end-to-end generative AI projects that have a high degree of ambiguity, scale, complexity. - Perform hands-on analysis of data sets to identify insights and build models that enhance traffic monetization, merchandise sales, and the overall shopper experience. - Train generative AI and machine learning models, run proof-of-concept experiments, optimize, and deploy models at scale in production - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Research new and innovative generative AI and machine learning approaches. - Work closely with product managers to contribute to our mission, and proactively identify science opportunities to drive business. - Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences.

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.