Machine Learning Engineer - Computer Vision & Robotics
About The Position
Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve. Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.
Requirements
- Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
- Hands-on experience applying ML to computer vision and/or robotics.
- Proficiency with PyTorch or TensorFlow.
- Strong coding skills in Python or C++ (ideally both).
- Experience deploying ML models and building training pipelines.
- Familiarity with Git and collaborative software development practices.
Nice To Haves
- CUDA kernel development and model optimization (quantization, pruning, distillation).
- Experience with ONNX, TensorRT, or OpenVINO for deployment.
- Robotics middleware (ROS2).
- SLAM, 3D perception, or sensor fusion (LiDAR, IMU).
- Real-time or low-latency inference pipelines.
Responsibilities
- Design and optimize ML models for computer vision and robotics under tight compute and memory budgets.
- Build robust training and fine-tuning pipelines for large-scale datasets.
- Compress, accelerate, and deploy models (quantization, distillation) for embedded accelerators (NPU/TPU/GPU delegates).
- Profile and tune on-device inference pipelines for latency, throughput, and accuracy.
- Write clean, efficient, and maintainable code across Python and/or C++.
- Stay current on state-of-the-art ML techniques and efficient edge deployment research in autonomy and perception
Benefits
- Competitive salary, meaningful equity, and generous benefits package.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
