Explore AI roles

Keyboard friendly • Copy, share & save roles

Sort by

The Worldwide Sustainability (WWS) organization leverages Amazon's size, scale, and inventive culture to build a more...

Fulltime Ai Machine Learning Generative Ai

$187k - $324k · Senior Fully remote

Apply

The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing ...

Fulltime Ai Machine Learning Deep Learning

$129k - $212k · Senior Fully remote

Apply

As a Sr. Mechanical Engineer, you will design, develop, and validate mechanical systems for Ring devices and services...

Fulltime Ai Machine Learning Data Science

$128k - $213k · Senior Fully remote

Apply

Come be a part of a rapidly expanding $40 billion-dollar global business. At Amazon Business, a fast-growing startup ...

Fulltime Ai Machine Learning Generative Ai

$129k - $223k · Senior Fully remote

Apply

Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. We operate at the intersection ...

Fulltime Machine Learning Nlp Mlops

$129k - $223k · Senior Fully remote

Apply

Come build the future as a Software Development Engineer at Amazon, where you will be inspired working along best-in-...

Fulltime Ai Machine Learning Generative Ai

$129k - $223k · Senior Fully remote

Apply

Come build the future as a Software Development Engineer at Amazon, where you will be inspired working along best-in-...

Fulltime Ai Machine Learning Generative Ai

$129k - $223k · Senior Fully remote

Apply

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough...

Fulltime Ai Machine Learning Robotics

$129k - $223k · Senior Fully remote

Apply

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renow...

Fulltime Ai Machine Learning Robotics

$151k - $261k · Senior Fully remote

Apply

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll contribute to breakthrough...

Fulltime Ai Machine Learning Robotics

$129k - $223k · Senior Fully remote

Apply

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renow...

Fulltime Ai Machine Learning Robotics

$151k - $261k · Senior Fully remote

Apply

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renow...

Fulltime Ai Machine Learning Deep Learning

$179k - $309k · Senior Fully remote

Apply

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renow...

Fulltime Ai Machine Learning Deep Learning

$179k - $309k · Senior Fully remote

Apply

Join the next science and engineering revolution at Amazon's Delivery Foundation Model team, where you'll work alongs...

Fulltime Ai Machine Learning Deep Learning

$150k - $260k · Senior Fully remote

Apply

Join the next science and engineering revolution at Amazon's Delivery Foundation Model team, where you'll work alongs...

Fulltime Ai Machine Learning Deep Learning

$150k - $260k · Senior Fully remote

Apply

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services ...

Fulltime Ai Machine Learning Data Science

$97k - $199k · Senior Fully remote

Apply

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services ...

Fulltime Ai Machine Learning Data Science

$97k - $199k · Senior Fully remote

Apply

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services ...

Fulltime Ai Machine Learning Data Science

$97k - $199k · Senior Fully remote

Apply

Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizi...

Fulltime Ai Machine Learning Deep Learning

$151k - $261k · Senior Fully remote

Apply

Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizi...

Fulltime Ai Machine Learning Deep Learning

$151k - $261k · Senior Fully remote

Apply

Are you interested in shaping the future of entertainment through cutting-edge AI? Prime Video’s technology teams are...

Fulltime Ai Machine Learning Deep Learning

$179k - $309k · Senior Fully remote

Apply

Are you interested in shaping the future of entertainment through cutting-edge AI? Prime Video’s technology teams are...

Fulltime Ai Machine Learning Deep Learning

$179k - $309k · Senior Fully remote

Apply

Are you interested in shaping the future of entertainment through cutting-edge AI? Prime Video’s technology teams are...

Fulltime Ai Machine Learning Deep Learning

$179k - $309k · Senior Fully remote

Apply

Join Amazon's Search and Conversational Shopping (Rufus) organization as an Applied Science Director to revolutionize...

Fulltime Ai Machine Learning Nlp

$262k - $350k · Senior Fully remote

Apply

Join Amazon's Search and Conversational Shopping (Rufus) organization as an Applied Science Director to revolutionize...

Fulltime Ai Machine Learning Nlp

$262k - $350k · Senior Fully remote

Apply

Showing 26–50 of 87 AI roles

1 3 4

Selected role

Sr. Manager Research Science Measurement Planning WW Sustainability

Amazon.com San Francisco, CA, US

Live

$187k - $324k · Senior Full-time Posted 26 days ago 6 min read

DESCRIPTION

The Worldwide Sustainability (WWS) organization leverages Amazon's size, scale, and inventive culture to build a more resilient and sustainable company. WWS manages our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world to become more sustainable.

We are seeking an experienced science leader to drive foundational innovations in sustainability measurement and planning across Amazon's global operations. This role will tackle complex sustainability challenges across all industrial sectors and geographic regions where Amazon operates, building science-driven capabilities for confident decision-making and investments in sustainability initiatives.

You will lead a multidisciplinary team of scientists, economists, engineers, and scholars to deliver transformative solutions across multiple environmental impact areas, including carbon, water, waste, biodiversity, and circularity. Your mission centers on building robust measurement systems that accurately capture our current environmental footprints and track progress through actionable metrics, while developing planning capabilities to project future trajectories, quantify initiative impacts, and align goals with the latest environmental science standards.

This role is uniquely positioned at the cutting edge of sustainability science, where your leadership will guide teams in leveraging diverse analytical approaches including AI and machine learning, systems simulation, optimization, and life cycle assessment (LCA) to create cost-effective solutions across Amazon's operations. You will own company-wide sustainability science review mechanisms, ensuring methodological rigor while pioneering generative AI applications that transform how we validate data, align methodologies, and generate insights at scale.

Success in this role requires building strong relationships across diverse stakeholder groups, translating complex concepts between sustainability domain experts and business leaders across the organization.

You will collaborate closely with engineering teams, program teams, and business units to transform emerging scientific standards into practical, scalable solutions, coordinating project planning and resource allocation across multiple teams and initiatives. Your leadership will be instrumental in developing methodologies and models that help Amazon achieve its sustainability goals.

Key job responsibilities

Lead and develop a multidisciplinary team of scientists, economists, and engineers to deliver innovative sustainability solutions
Design and execute unified science strategies for measurement, forecasting, and planning across environmental impact areas (carbon, water, waste, biodiversity, circularity)
Develop integrated methodologies spanning key economic sectors (transportation, buildings, cloud computing, packaging, commodities, products/services)
Guide integration of diverse analytical approaches into measurement and forecasting systems, including AI/ML, simulation, optimization, and life cycle assessment.
Own and oversee company-wide Sustainability Science Review processes to maintain methodological rigor and consistency
Partner with product, engineering, and business teams to translate science insights into operational improvements
Provide strategic guidance on emerging science standards, protocols, and data requirements

About the team
Diverse Experiences:
World Wide Sustainability 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.

Inclusive Team Culture:
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 (inclusive diversity) 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

BASIC QUALIFICATIONS

- Master’s degree in science, Engineering, Statistics, Economics, Computer Science, or related field
- 15+ years of experience in environmental science, operations research, climate science, mathematics, statistics, computer science, or related fields
5+ years leading and managing multidisciplinary science and engineering teams
• Proven experience building forecasting, planning, optimization, and analytics models or systems
• Demonstrated ability to collaborate effectively with product and engineering teams
• Strong project management and execution capabilities
• Excellent written and verbal communication skills for diverse audiences, from technical teams to senior leadership

PREFERRED QUALIFICATIONS

PhD in Science, Engineering, Statistics, Economics, Computer Science, or related field
10+ years of post-PhD experience in relevant scientific or technical domains
Track record of deploying science methodologies for high-impact operational and strategic decisions at scale
Experience integrating scientific models and insights into production systems and technologies
Demonstrated success partnering with cross-functional teams and business units
Expertise in applying diverse modeling approaches (ML/AI, simulation, optimization) to complex sustainability challenges
Some knowledge of environmental standards, protocols, and reporting frameworks (optional)
Experience leading the transformation of traditional methodologies and workflows through generative AI integration and automation
Exceptional ability to communicate complex technical concepts to varied audiences, including executives and external stakeholders

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $187,500/year in our lowest geographic market up to $324,100/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.

Ready to apply? You'll go straight to the hiring team.

No agency in the middle · Your profile is shared privately.

Explore the complete AI ecosystem

Discover the best AI-first companies, podcasts, events, learning paths, and jobs in one focused hub.

AI Learning Hub · Always curated, never noisy

Simple pricing for serious AI hiring

Pay per listing. No subscriptions, no hidden fees. Designed for teams hiring for high-impact AI roles.

No-risk: replace or refund if the role doesn’t get traction.

Standard listing

Reach active AI talent

For startups

$349 per role

30-day live listing in the AI job feed.
Structured posting written for AI engineers (we’ll help refine copy).
Instant alerts to subscribed candidates for your tags (LLMs, agents, infra, etc.).

Most teams see first applicants within 24–48 hours.

Max visibility to senior talent

For scale-ups

$649 per role

Everything in Standard, plus homepage & “Featured role” placement.
Priority placement in weekly AI roles newsletter.
1:1 review of your role with DevFound to calibrate for top-tier candidates.
Highlight badge on job page to increase conversion.

Best for teams hiring 1–3 critical AI roles this quarter.

Machine Learning Jobs at Amazon.com

Explore AI roles

Sr. Manager Research Science Measurement Planning WW Sustainability

Applied Scientist Seller Fees Science

Sr. Mechanical Engineer Ring Hardware

Frontend Engineer II Amazon Business Marketing Tech

Software Dev Engineer Amazon Advertising Creative X

Software Development Engineer II CXBT Amazon CS

Software Development Engineer II CXBT Amazon CS

Software Development Engineer Frontier AI Robotics

Sr. Software Development Engineer FAR Frontier AI Robotics

Software Development Engineer Frontier AI Robotics

Sr. Software Development Engineer FAR Frontier AI Robotics

Principal Applied Scientist FAR Frontier AI Robotics

Principal Applied Scientist FAR Frontier AI Robotics

Senior Applied Scientist Delivery Foundation Model

Senior Applied Scientist Delivery Foundation Model

Amazon Robotics Software Development Engineer CoOp Spring 2026

Amazon Robotics Software Development Engineer CoOp Spring 2026

Amazon Robotics Software Development Engineer CoOp Spring 2026

Sr. Machine Learning Engineer Amazon General Intelligence AGI

Sr. Machine Learning Engineer Amazon General Intelligence AGI

Principal Applied Scientist Prime Video Personalization Discovery

Principal Applied Scientist Prime Video Personalization Discovery

Principal Applied Scientist Prime Video Personalization Discovery

Director Applied Science Amazon Search and Conversational Shopping Rufus

Director Applied Science Amazon Search and Conversational Shopping Rufus

Explore the complete AI ecosystem

Choose Your Plan

Simple pricing for serious AI hiring

Reach active AI talent

Max visibility to senior talent