Machine Learning Engineer - Computer Vision & Robotics
- Location
- Cambridge, MA (Remote) · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 23 days ago
Skills & highlights for this role
- PyTorch
- TensorFlow
- computer vision
- model quantization
- Python
Also useful
- CUDA
- TensorRT
- ONNX
- ROS2
- SLAM
Stated benefits & perks
- Equity
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
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 Have
- 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.
About Tycho.AI
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.
Why Tycho.AI
- Be part of a high calibre rapidly scaling startup defining the future of autonomous intelligence.
- Make a difference, help create the software development culture and ecosystem you want to develop in.
- Collaborative, high-trust culture that values innovation, execution, and continuous learning.
- Competitive salary, meaningful equity, and generous benefits package.
Equal opportunity and legal notices
Tycho AI is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or protected veteran status.
Tycho AI participates in E-Verify to confirm work authorization in the United States. Applicants must be authorized to work in the U.S. and may be subject to a government security clearance process.
From Tycho.AI's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Machine Learning Engineer - Computer Vision & Robotics job at Tycho.AI located?
Yes, this Machine Learning Engineer - Computer Vision & Robotics opening at Tycho.AI is listed as Cambridge, MA (Remote) (On-site). Always check Tycho.AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer - Computer Vision & Robotics at Tycho.AI?
For the Machine Learning Engineer - Computer Vision & Robotics role, Tycho.AI highlights a bachelor's degree; experience with PyTorch, TensorFlow, computer vision, model quantization, Python. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer - Computer Vision & Robotics position at Tycho.AI?
This listing links directly to Tycho.AI's Ashby application page. You can apply directly on Tycho.AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.