Machine Learning Engineer

This role is based in Cupertino, California.

Compensation:

$147,400 - $272,100/year

Responsibilities:

• Develop and validate ML and GenAI-driven algorithms for health sensing applications.
• Prototype and compare multiple approaches using real and synthetic data.
• Design experiments and evaluation methodologies to quantify performance.
• Optimize algorithms for robustness and efficiency.
• Collaborate with cross-functional teams to integrate algorithms into products.
• Analyze failure modes and drive data-driven improvements.

Minimum Qualifications:

• Bachelor's degree in a relevant field or equivalent experience.
• Strong foundation in machine learning and statistics.
• Experience with modern AI techniques, including generative AI.
• Proficiency in Python for algorithm development.
• Ability to rapidly prototype and iterate based on results.

Preferred Qualifications:

• Experience with physiological sensing algorithms using multi-modal data.
• Familiarity with on-device ML frameworks.
• Background in experimental design and statistical validation.