Sr. Applied Scientist, Hardware Silicon and Systems Group

Our team leads the development and optimization of on-device ML models for Amazon's hardware products, including audio, vision, and multi-modal AI features. We work at the critical intersection of ML innovation and silicon design, ensuring AI capabilities can run efficiently on resource-constrained devices.

Currently, we enable production ML models across multiple device families, including Echo, Ring/Blink, and other consumer devices. Our work directly impacts Amazon's customer experiences in consumer AI device market. The solutions we develop determine which AI features can be offered on-device versus requiring cloud connectivity, ultimately shaping product capabilities and customer experience across Amazon's hardware portfolio.

This is a unique opportunity to shape the future of AI in consumer devices at unprecedented scale. You'll be at the forefront of developing industry-first model architectures and compression techniques that will power AI features across millions of Amazon devices worldwide. Your innovations will directly enable new AI features that enhance how customers interact with Amazon products every day. Come join our team!



Key job responsibilities
As a Sr Applied Scientist on the Edge AI ML team, you will:
- Design and implement novel algorithms for compressing and optimizing deep learning models for edge devices at the system level
- Lead complex research projects from inception to production deployment
- Define technical requirements and develop implementation plans for large-scale ML systems
- Drive adoption of new approaches and best practices across teams
- Mentor and develop junior scientists while fostering collaboration across teams
- Conduct and oversee experiments to evaluate and benchmark model performance across various hardware platforms
- Partner with product teams to integrate our technology into Amazon devices and services
- Advance state-of-the-art efficiency in AI model deployment through novel research
- Lead exploration of emerging ML architectures (e.g., transformers, neural architecture search) for edge computing
- Drive innovation in hardware-aware ML techniques to tailor models for specific edge devices
- Author research publications and engage with the external scientific community when aligned with business goals

About the team
Our team is at the forefront of enabling AI capabilities on edge devices. We offer:
- The opportunity to lead ML technologies with real-world impact
- Collaboration with world-class researchers and engineers
- A culture of innovation that encourages new ideas and approaches
- The scale and resources of Amazon to tackle ambitious technical challenges
- Opportunities to influence product strategy and technical direction

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 programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience leading technical projects and mentoring junior scientists

Preferred Qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Track record of successful production deployments
- Deep expertise in model compression techniques like pruning, quantization, and knowledge distillation
- Proven experience deploying ML models on edge devices or mobile platforms
- Strong background in optimization, information theory, or signal processing
- History of developing and implementing novel ML algorithms that advance the state of the art
- Strong publication record in top-tier ML conferences (e.g. NeurIPS, ICML, ICLR)
- Experience influencing product strategy and technical roadmaps
- Demonstrated ability to collaborate across teams and organizations
- Experience building and leading research initiatives that deliver customer impact

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.

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.

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 $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.