Senior Robotics ML Engineer | Boston, MA

Contract Type: Contract

Rate: $90–$130/hr (W2 or 1099)

Duration: 6-12 months (extension possible)

Right to Work: Must be authorized to work in the United States

Join a cutting-edge robotics and autonomous systems program focused on deploying ML-driven perception and decision-making models on real-world robotic platforms operating in production environments.

This program is moving beyond experimentation and PoCs, with a strong emphasis on production-grade ML
, edge deployment
, and robustness under real-world constraints such as latency, compute limits, and sensor noise.

• Lead design, training, and iteration of ML models for robotic perception, including object detection, segmentation, and tracking
• Deploy and maintain ML models on edge devices within robotic or autonomous platforms
• Optimize inference performance to meet latency, throughput, and compute constraints
• Evaluate and improve model performance using real-world sensor data
• Collaborate with autonomy, robotics, and systems teams to integrate ML outputs into downstream decision-making pipelines
• Mentor junior engineers and support post-deployment monitoring and continuous model improvement

• Extensive hands-on experience with Python and PyTorch or Tensor Flow
• Proven track record deploying ML models into production environments (beyond research or notebooks)
• Strong practical experience applying computer vision or multimodal ML to real-world robotic or sensor data
• Deep understanding of ML trade-offs, including accuracy vs latency, model size, and compute efficiency
• Experience working where ML models interact with physical systems in real-time

Python, PyTorch or Tensor Flow, Computer Vision, Edge ML, ROS2, Sim2

Real