About the Role:
As a Principal Applied Scientist, you will lead cutting-edge productization of computer vision and machine learning, directly impacting millions of customers worldwide. You'll work with a diverse team of engineers and scientists to solve complex problems and bring revolutionary products to market.
Key job responsibilities
Key Responsibilities:
* Drive strategic vision and long-term roadmap for camera and sensor technologies, influencing product teams and aligning direction across technology, silicon, and devices organizations
* Lead groundbreaking ML/CV innovations, focusing on differentiated hardware technologies for advanced camera and sensor capabilities
* Architect and implement state-of-the-art ML models for edge computing in consumer products, optimizing for performance and efficiency
* Guide the development of next-generation AI-enabled devices, including wearables, Echo devices, Fire TVs, and robotics
* Guide the invention and design of next-generation wearables, Echo devices, Fire TVs, and robotics
* Collaborate with cross-functional teams to integrate ML solutions into hardware designs
* Mentor and develop team members, fostering innovation and technical excellence
About the team
At Amazon, we're guided by our Leadership Principles, including "Customer Obsession," "Invent and Simplify," and "Learn and Be Curious." We value innovative thinking and diverse perspectives to solve complex challenges. This role offers a unique opportunity to work on ML applications that directly improve people's daily lives. You'll be part of a collaborative team integrating AI into everyday devices, making advanced technology accessible to all.
We're committed to fostering an inclusive environment where everyone can do their best work and maintain a healthy work-life balance.
BASIC QUALIFICATIONS
Basic Qualifications:
* PhD, or Master's degree with 10+ years of experience in Computer Science, ML, or related field
* 5+ years of experience building and deploying ML models for business applications, including edge AI optimization
* Expertise in deep learning algorithms, particularly in computer vision and sensor fusion
* In-depth knowledge of ML paradigms including traditional ML, deep learning, LLMs, and vision transformers
* Proficiency in Python and C/C++ for ML development and low-level optimization
* Experience with ML frameworks such as PyTorch or TensorFlow
* Strong understanding of camera and sensor principles and operations
PREFERRED QUALIFICATIONS
Preferred Qualifications:
* Experience with ML model optimization tools for edge inference, e.g. TFLite or TVM
* Knowledge of ML-specific hardware architectures (e.g., TPUs, NPUs)
* Familiarity with hardware description languages (e.g., VHDL or Verilog) and/or CUDA for GPU acceleration
* Publications in conferences/journals such as CVPR, ICCV, NeurIPS, ICML, or IEEE TPAMI
* Track record of patents in relevant fields
* Hardware-software co-design experience for ML acceleration
* Strong communication skills and ability to work in a fast-paced, collaborative environment
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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.