Machine Vision & Perception Engineer

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This role is for a Machine Vision & Perception Engineer with 5+ years of experience in real-time perception systems. It offers a 12–24 month contract, remote work, and a pay rate of $60,000 - $150,000. Key skills include Python, C++, object detection, and sensor fusion.

Location:

Remote, United States. Currency: USD.

• Design and deploy real-time computer vision pipelines for:
  • Multi-person detection, registration, and tracking
  • Human pose estimation and skeletal tracking
  • Body-part segmentation under occlusion
  • Action and scene interpretation
  • Object detection and spatial association
• Develop robust perception systems that operate in:
  • Low-light and high dynamic range environments
  • Outdoor conditions (sunlight, weather variability)
  • Cluttered and partially occluded scenes
• Integrate multimodal sensors including:
  • Stereo RGB / depth cameras
  • Thermal imaging systems
  • IMUs and localization sensors
• Fuse RGB, depth, and thermal data for improved robustness
• Optimize models for edge deployment (Jetson-class or similar)
• Implement latency-aware, real-time inference pipelines (≤250 ms target)
• Develop dynamic  across field-of-view changes
• Architect and maintain production-level ML pipelines:
  • Dataset versioning
  • Training/validation workflows
  • Model benchmarking under stress conditions
  • Quantization / pruning / Tensor
    
    RT optimization
• Collaborate on hardware–software integration
• Conduct structured field testing and performance evaluation

• B.S., M.S., or Ph.D. in Computer Vision, Robotics, Electrical Engineering, Computer Science, or related field
• 5+ years of industry experience (or Ph.D. + 3+ years industry) in real-time perception systems
• Strong experience in:
  • Object detection (YOLO, Faster R-CNN, etc.)
  • Human pose estimation (HRNet, Open Pose, Media Pipe, etc.)
  • Multi-object tracking (DeepSORT, Byte Track, etc.)
  • Semantic/instance segmentation
• Experience with low-light or adverse visual condition modeling
• Depth cameras (stereo or structured light)
• Thermal imaging systems
• Sensor fusion
• Strong Python and C++ proficiency
• Experience deploying models on edge devices (NVIDIA Jetson, embedded GPU systems)
• Tensor
  
  RT, ONNX, model quantization
• ROS2 or similar robotics middleware
• OpenCV, Py Torch
• Experience building production-grade ML systems (not just research prototypes)

• Experience interpreting human actions or complex scenes
• Experience with ego-centric (first-person) vision
• Experience in robotics perception
• Experience with real-time constraints and power-limited systems
• Familiarity with localization techniques (visual odometry, IMU fusion)
• Experience developing for rugged or field-deployed systems
• Background in safety-critical or regulated environments
• Published research in computer vision or robotics
• Experience bridging academic research into production systems

• Reliable multi-person tracking in dynamic scenes
• Robust performance across lighting extremes
• Edge-deployable models meeting real-time constraints
• Clean, maintainable, production-ready perception stack
• Demonstrated improvement in robustness via sensor fusion

• Competitive salary based on experience ($60,000 - $150,000 per year)
• Health, dental, and vision insurance
• Paid time off and holidays
• Stock options
• Vision insurance
• Dental insurance

Full-time fixed-term role (12–24 months) aligned with a funded development program. Continuation or conversion to long-term employment may be available based on performance, program needs, and future funding.

• Technically rigorous
• Comfortable operating with ambiguity
• Capable of balancing research innovation with engineering discipline
• Excited by real-world constraints (compute, power, lighting, weather)
• Able to move from model training to deployed system integration