Principal Applied Scientist, OPD Hardware

Amazon • Sunnyvale, CA

410d • $179,000 - $309,400

About The Position

As a Principal Applied Scientist at Amazon Lab126, you will lead the productization of computer vision and machine learning technologies, directly impacting millions of customers worldwide. This role involves collaborating with a diverse team to solve complex problems and innovate consumer products such as wearables, Echo devices, and robotics. You will drive the strategic vision for camera and sensor technologies and guide the development of next-generation AI-enabled devices.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Drive strategic vision and long-term roadmap for camera and sensor technologies.
• Lead groundbreaking ML/CV innovations focusing on differentiated hardware technologies.
• Architect and implement state-of-the-art ML models for edge computing in consumer products.
• Guide the development of next-generation AI-enabled devices, including wearables and robotics.
• Collaborate with cross-functional teams to integrate ML solutions into hardware designs.
• Mentor and develop team members, fostering innovation and technical excellence.

Benefits

• Competitive salary based on experience and market location.
• Equity and sign-on payments as part of total compensation package.
• Full range of medical, financial, and other benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Industry: Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers
• Education Level: Master's degree