More than 3 months ago
Job Description
Amazon's global talent management and compensation (GTMC) organization is looking for a Senior Applied Scientist to join our interdisciplinary science team. The role will lead our strategic science investments to develop and refine Generative AI solutions in our experiences that help more than 1.5 million employees build rewarding careers and shape how we manage Amazon's talent.
GTMC is responsible for managing all aspects of Amazon employees' careers, from onboarding to exit. We build intelligent products that are used by employees, their managers and senior leadership to grow, develop and reward Amazon's talent. The domains we cover include career development, talent evaluation, employee-role matching, promotions, organizational design and succession planning, and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced applied scientist who has experience building, applying and customizing GenAI solutions to solve customer problems. As a senior applied scientist on the team, you will play a critical role in driving the development of GenAI technologies that handle Amazon-scale use cases and have a significant impact on our employees' lives. You will have the opportunity to lead exciting problems, publish and patent your work in one of the most high impact, innovative and unconventional applications of science in the People Experience and Technology space.
If this kind of work excites you, reach out to us to find out more!
Key job responsibilities
- Provide scientific thought leadership in GenAI solution development for our science and engineering teams
- Prototype and iterate on GenAI solutions for capabilities across writing feedback, summarization, information retrieval, content generation and orchestration.
- Participate in scoping feature and business planning roadmap of GTMC's science investments
- Design and execute science-based product ideas and features, project plans and communicate with stakeholders
- Partner with engineers to productionize GenAI and other science models at the scale of Amazon
- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
About the team
GTMC's science team is an experienced central interdisciplinary organization of scientists spanning machine learning, economics and research that builds science models for Amazon's worldwide employee-facing talent management products, designs and supports experiments for product features, and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics.
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 with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language
- Experience with developing Generative AI solutions for business applications
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of applied research experience
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Strong publication record in top-tier journals and conferences in Generative AI, and/or demonstrated experience with customizing Large Language Models for business applications
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
GTMC is responsible for managing all aspects of Amazon employees' careers, from onboarding to exit. We build intelligent products that are used by employees, their managers and senior leadership to grow, develop and reward Amazon's talent. The domains we cover include career development, talent evaluation, employee-role matching, promotions, organizational design and succession planning, and new areas that address the evolving needs of our diverse employee base.
We are looking for an experienced applied scientist who has experience building, applying and customizing GenAI solutions to solve customer problems. As a senior applied scientist on the team, you will play a critical role in driving the development of GenAI technologies that handle Amazon-scale use cases and have a significant impact on our employees' lives. You will have the opportunity to lead exciting problems, publish and patent your work in one of the most high impact, innovative and unconventional applications of science in the People Experience and Technology space.
If this kind of work excites you, reach out to us to find out more!
Key job responsibilities
- Provide scientific thought leadership in GenAI solution development for our science and engineering teams
- Prototype and iterate on GenAI solutions for capabilities across writing feedback, summarization, information retrieval, content generation and orchestration.
- Participate in scoping feature and business planning roadmap of GTMC's science investments
- Design and execute science-based product ideas and features, project plans and communicate with stakeholders
- Partner with engineers to productionize GenAI and other science models at the scale of Amazon
- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
About the team
GTMC's science team is an experienced central interdisciplinary organization of scientists spanning machine learning, economics and research that builds science models for Amazon's worldwide employee-facing talent management products, designs and supports experiments for product features, and measures impact of product and program initiatives across the broader organization. Examples of our work include GenAI-powered summarization and writing assistants, content and people recommendation systems, scalable experimentation products and measuring organizational north star metrics.
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 with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language
- Experience with developing Generative AI solutions for business applications
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of applied research experience
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Strong publication record in top-tier journals and conferences in Generative AI, and/or demonstrated experience with customizing Large Language Models for business applications
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
About Amazon
Learn More About AmazonAudible is a provider of spoken audio information and entertainment , on the Internet. They provide premium spoken audio content, such as audio versions of books and newspapers and radio programs, that is delivered over the Internet and played back on personal computers and hand-held electronic devices. The Audible service allows consumers to purchase and download their content from their Website, store it in digital files and play it back on personal computers and electronic devices. More than 15,000 hours of audio content are available on their Web site, including audio versions of books, periodicals and radio programs. Several manufacturers have agreed to support and promote the playback of their content on their hand-held audio-enabled electronic devices.
Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests.
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At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you.
Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally.
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Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards.
Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation.
Explore Amazon’s Employment Benefits
Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security.
Internship and Networking Opportunities
Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company.
Future-Proof Your Career
With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends.
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Join Our Team
Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference.
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Amazon Careers
Joining Amazon presents an unparalleled opportunity to become part of a vibrant team pushing the boundaries of innovation and growth in the global marketplace. As a leader in e-commerce, technology, and logistics, Amazon offers a variety of job opportunities that cater to a range of skills and professional interests.
Work You’ll Do
At Amazon, every day is an opportunity to collaborate with the brightest minds in technology and business to redefine what’s possible. Whether you’re interested in software development, marketing, human resources, or customer service, Amazon has a position waiting for you.
Transform the way the world shops and innovates with our diverse and inclusive team. Amazon is not just a company; it’s a community where you can drive real change and contribute to projects impacting millions globally.
Lead with Innovation and Leadership
Amazon is the perfect place to enhance your leadership and innovation skills. Our culture encourages pushing the envelope and imagining the unimaginable. Here, you will lead projects that challenge the status quo and define new industry standards.
Work with a team that values diversity and is committed to creating an inclusive environment. Our leadership is focused on harnessing the collective power of unique perspectives to foster growth and innovation.
Explore Amazon’s Employment Benefits
Amazon’s commitment to its employees extends beyond just career growth. We offer competitive benefits, including health care, parental leave, and diversity training, ensuring that our team not only excels professionally but also enjoys well-being and security.
Internship and Networking Opportunities
Start your career with an Amazon internship and gain hands-on experience that matters. Our internships provide a gateway to full-time employment and an opportunity to network with professionals across various sectors of the company.
Future-Proof Your Career
With Amazon, your career path is filled with numerous opportunities for advancement. Our learning and development programs are designed to nurture your professional growth and keep you at the forefront of industry trends.
Stay Connected
Join Our Team
Discover the job opportunities at Amazon that match your skills and interests. We are constantly on the lookout for passionate, curious, and innovative team players ready to make a difference.
Keep Up to Date
Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here.
Job Alert Emails
Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding career opportunities that await at Amazon.
Amazon is more than just a company—it’s a platform for building a promising future. Whether you’re starting or looking to advance your career, Amazon offers the resources, support, and network you need to succeed. Join us, and be a part of our continuing mission to be Earth's most customer-centric company.
