Sr. Applied Scientist, WW Sustainability

Join us at Amazon’s sustainability initiatives to advance environmental and social progress and support Amazon’s long‑term worldwide sustainability strategy. At Amazon, we aim to be the most customer‑centric company on earth, and we need exceptionally talented, bright, and driven people to help us get there.

• Design, implement, and maintain data and AI/ML infrastructure to support a wide variety of large and complex data sets, ensuring high performance, availability, and integrity.
• Identify and solve data needs for Gen AI and foundational model training and benchmarking across sustainability domains.
• Develop and optimize robust data pipelines for internal data from sources such as Product Lifecycle Management tools, Product Details (images, text, and structured data), Inventory Management Platforms, and financial systems.
• Design and implement web‑scale data collection for images, text, and structured data across locations and sustainability domains.
• Develop comprehensive monitoring, alarming, and data quality controls for all of the above.
• Partner with scientists and software engineers to create our data collection strategy and ML Ops best practices.

• 3+ years of building machine learning models for business application experience.
• PhD or Master’s degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python, or a related language.
• Experience with neural deep learning methods and machine learning.

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.

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.

It’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (inclusive diversity) conferences, inspire us to never stop embracing our uniqueness.

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.

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.

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 working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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.

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.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or…