Sr. Applied Scientist, Hardware Silicon and Systems Group

Amazon • Sunnyvale, CA

13d

About The Position

Amazon Devices is an inventive research and development company that designs and
engineer high-profile devices like Echo, Fire Tablets, Fire TV, and other
consumer devices. We are looking for exceptional scientists to join our Applied
Science team to help build industry-leading technology with multimodal language
models for various edge applications. This role is for a Sr. Applied Scientist
to lead science efforts for on-device inference pipelines and orchestration,
working closely with cross-functional product and engineering teams to invent,
design, develop, and validate new AI features for our devices.

As an Applied Scientist with the Silicon and Solutions Group Edge AI team,
you'll contribute to science solution design, conduct experiments, explore new
algorithms, develop embedded inference pipelines, and discover ways to enrich
our customer experiences. You'll have opportunities to collaborate across teams
of engineers and scientists to bring algorithms and models to production.

Our Devices team specializes in inventing new-to-world, category creating
products using advanced machine learning technologies. This role is on a new
cross-functional team, whose cadence and structure resembles an efficient and
fast-paced startup, with rapid growth and development opportunities.

Requirements

• 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 related language
• Experience with neural deep learning methods and machine learning

Nice To Haves

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

• Lead cross-functional efforts to invent, design, develop, and validate new AI features for our devices
• Invent, build, and evaluate model inference and orchestrations to enable new customer experiences
• Drive partnerships with product and engineering teams to implement algorithms and models in production
• Train and optimize state-of-the-art multimodal models for resource-efficient deployment
• Work closely with compiler engineers, hardware architects, data collection, and product teams

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