Machine Learning Engineer, Multimodal Perception and Authentication

Highlights

• Shape how future AI systems perceive people and surroundings using multimodal signals
• Build authentication and perception methods that work beyond controlled environments.
• Turn research into real-world systems with hardware, firmware, and product teams.

What they offer

• Equity
• Relocation assistance

Ideal candidate

Applied researcher who loves turning sensing and perception ideas into working prototypes. You enjoy cross-disciplinary collaboration and tackling open-ended real-world robustness challenges.

Requirements

• Strong background in computer vision, audio or speech ML, multimodal learning, or sensing
• Experience developing specialized ML models, larger multimodal models, or both
• Track record bringing research ideas into practical systems, prototypes, or products
• Skilled in designing experiments, building evaluations, and investigating model behavior
• Experience with sensing hardware, real-time systems, or deployment constraints
• Proficient in Python and PyTorch and comfortable with C++ or systems integration
• Experience with authentication, biometrics, or privacy-sensitive applications
• Enjoys cross-disciplinary work on open-ended research problems