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Machine Learning Engineer – Computer Vision, Robotics
Tycho.AIMachine Learning Engineer designing and optimizing models for computer vision and robotics. Join Tycho.AI to work on advanced AI and autonomy solutions for unmanned systems.
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Competitive salary, meaningful equity, and generous benefits package.