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Job Description
Structured overview of role & requirementsAbout This Role
Research, develop, and deploy ML models for perception across visual, audio, and other signals with end-to-end ownership.
Build and maintain data pipelines, training, evaluation systems, and production deployments in collaboration with platform, product, and firmware teams.
Analyze model behavior, robustness, and failure modes under real-world and resource-constrained environments.
Minimum Requirements
Proficiency in Python and PyTorch; working knowledge of one systems language (e.g., C++ or Go).
Experience applying deep learning fundamentals including architecture design, training, evaluation, and data annotation.
Work Experience Required: Not explicitly mentioned in the JD.
Authorization to access U.S. Export Administration Regulations controlled technologies (where applicable).
Ideal Candidate Profile
Operates effectively across research, production, and embedded environments, handling ambiguity and end-to-end system constraints.
Experience or interest in on-device ML, video understanding, or large-scale telemetry data processing pipelines.
Familiarity with distributed training/experimentation frameworks and rigorous evaluation methodologies.