Senior Applied Scientist, Annapurna ML

Amazon • Cupertino, CA

2d

About The Position

The Annapurna ML team is looking for a Senior Applied Scientist to work on the
intersection of Artificial Intelligence and program analysis to raise the code
quality bar in our state-of-the-art deep learning compiler stack. This stack is
designed to optimize application models across diverse domains, including Large
Language and Vision, originating from leading frameworks such as PyTorch,
TensorFlow, and JAX. Your role will involve working closely with our
custom-built Machine Learning accelerators, Inferentia and Trainium, which
represent the forefront of Annapurna innovation for advanced ML capabilities,
and is the underpinning of Generative AI.

As a Senior Applied Scientist, you'll be instrumental in designing, developing, and deploying analyzers for ML compiler stages and compiler IRs. You will
architect and implement business-critical tooling, publish research, and mentor
a brilliant team of experienced scientists and engineers. You will need to be
technically capable, credible, and curious in your own right as a trusted
scientist, innovating on behalf of our customers. Your responsibilities will
involve tackling crucial challenges alongside a talented engineering team,
contributing to leading-edge design and research in compiler technology and
deep-learning systems software. Strong experience in programming languages,
compilers, program analyzers, and program synthesis engines will be a benefit in
this role.

A background in machine learning and AI accelerators is preferred but not
required.

Diverse Experiences
Amazon 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 Amazon?
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 Amazon, 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 (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 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.

Requirements

• Experience programming in Java, C++, Python or related language
• PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• 5+ years of building models for business application experience

Nice To Haves

• Publication record in compilers, programming languages, fuzz testing, or program synthesis
• Experience applying program analyzers and fuzz testing to large code bases
• A background in machine learning and AI accelerators

Responsibilities

• designing, developing, and deploying analyzers for ML compiler stages and compiler IRs
• architect and implement business-critical tooling
• publish research
• mentor a brilliant team of experienced scientists and engineers
• tackling crucial challenges alongside a talented engineering team
• contributing to leading-edge design and research in compiler technology and deep-learning systems software

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree