ML Engineer
- Design, develop, and optimize ML models for computer vision and robotics tasks.
- Build robust training and fine-tuning pipelines for large-scale datasets.
- Integrate ML systems into real-world platforms, bridging research and production.
- Write clean, efficient, and maintainable code across Python and/or C++.
- Stay current on research and apply state-of-the-art techniques in autonomy and perception.
- 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.
- 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.
- Be part of a rapidly scaling startup defining the future of autonomous intelligence.
- Collaborate with top engineers and researchers from MIT, Google, and across the defense innovation ecosystem.
- Direct impact on national security missions and dual-use commercial applications.
- Along with a competitive salary and options, Tycho.AI offer a robust benefits package, including many options from medical insurance with 80% company contribution to pet insurance and a 401(k) retirement plan.
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