Machine Learning Engineer, Multimodal Perception and Authentication

What you'll do

• Research and develop perception and authentication methods; explore collaboration between specialized perception models and larger multimodal models.
• Design data, training, and evaluation approaches; investigate model behavior, robustness, and failure modes.
• Integrate and validate capabilities in real-time or resource-constrained systems with hardware, firmware, software, and product teams.

What they ask for

• Strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing.
• Experience developing specialized machine learning models, larger multimodal models, or both.
• Experience bringing research ideas into practical systems, prototypes, or products; designing experiments and evaluations.
• Proficiency in Python and PyTorch; comfortable with C++ or systems integration.

Nice to have

• Experience with sensing hardware, real-time systems, or deployment constraints.
• Experience with authentication, biometrics, or other privacy-sensitive applications.

Pay

$342K – $399K (base salary)

Tools

Python, PyTorch, C++

AI focus

Applied research and engineering in multimodal perception and authentication, combining specialized perception models and larger multimodal models for real-world systems.