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Computer Vision Engineer - Perception for Autonomy

BrightAI

BrightAI is a high-growth company at the forefront of AI, IoT, Cloud, and Mobile technologies, dedicated to revolutionizing industries and transforming the way businesses operate.

BrightAI is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.

Palo Alto, California Posted 4mo ago aiiotrobotics
Computer Vision Engineer — Perception & 3D
Type: Temporary
 Duration: 6–12 months
What You'll Gain
  • Exposure to the full CV pipeline, from raw data and annotation to deployed model
  • Mentorship from CV engineers working on production systems
  • Hands-on experience with YOLO, PyTorch, 3D reconstruction, and modern perception workflows
  • Concrete portfolio work — datasets, scripts, reconstructions, and model contributions — that translates directly to future ML/CV roles
What You'll Do
  • Annotate and QA images and video for detection, segmentation, and classification — and build the tooling to do it at scale
  • Work on 3D reconstruction (photogrammetry, Gaussian splatting) and explore applications in AR/VR and autonomy
  • Write Python tooling to convert annotation formats, validate label integrity, and generate dataset statistics
  • Help shape labeling schemas and class taxonomies as edge cases arise
  • Run baseline YOLO training experiments to evaluate dataset quality and surface labeling gaps
  • Document conventions and edge-case decisions
Required
  • Recent graduate with a degree in CS, EE, AI/ML, or related field
  • Working knowledge of Python and common CV libraries (NumPy, OpenCV)
  • Attention to detail and patience for precision work
Nice to Have
  • Hands-on experience with YOLO or PyTorch
  • Familiarity with 3D reconstruction, segmentation masks, or model-assisted labeling workflows
  • Interest in AR/VR, SLAM, or autonomous systems

Posted by BrightAI on their own careers page — you apply directly, no recruiter in between. View original / apply →

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