Machine Learning Engineer (Computer Vision and/or Robotics) - Series A Startup

Qualifications

• A degree in Computer Science, Engineering, or similar field
• Proven hands-on experience applying ML to computer vision and/or robotics problems
• Proficiency with PyTorch or TensorFlow
• Strong coding skills in Python or C++ (ideally both)
• Experience deploying ML models and building scalable training pipelines
• Familiarity with modern development tools (Git, CI/CD, etc.)
• Collaborate with engineers and researchers from leading institutions

Benefits

• Work at the bleeding edge of AI and robotics innovation
• Directly impact real-world autonomous missions and commercial deployments
• Competitive salary, meaningful equity, and comprehensive benefits (medical, 401(k), pet insurance, and more)

Responsibilities

• To push the boundaries of what’s possible in autonomy, from national security to real-world commercial use cases in logistics, emergency response, and exploration
• If you’re driven by complex technical challenges and the idea of shaping the future of intelligent machines, read on
• Design, train, and deploy ML models for advanced computer vision and robotic perception
• Build large-scale training pipelines and tune models for performance and reliability
• Integrate ML systems into real-world hardware platforms, turning research into production
• Collaborate with some of the brightest minds in AI and autonomy
• Write clean, efficient code in Python and/or C++, and stay ahead of the curve with state-of-the-art techniques

Full Description

If you’ve ever wanted to apply your ML and robotics / Computer Vision skills to something that truly moves the needle, this is that role.

You’ll join a fast-growing tech company building next-generation autonomous systems that can operate in environments where GPS fails and traditional AI breaks down.

Our client's mission?

To push the boundaries of what’s possible in autonomy, from national security to real-world commercial use cases in logistics, emergency response, and exploration.

If you’re driven by complex technical challenges and the idea of shaping the future of intelligent machines, read on.

What You’ll Do

• Design, train, and deploy ML models for advanced computer vision and robotic perception.

• Build large-scale training pipelines and tune models for performance and reliability.

• Integrate ML systems into real-world hardware platforms, turning research into production.

• Collaborate with some of the brightest minds in AI and autonomy.

• Write clean, efficient code in Python and/or C++, and stay ahead of the curve with state-of-the-art techniques.

What You Bring

• A degree in Computer Science, Engineering, or similar field.

• Proven hands-on experience applying ML to computer vision and/or robotics problems.

• Proficiency with PyTorch or TensorFlow.

• Strong coding skills in Python or C++ (ideally both).

• Experience deploying ML models and building scalable training pipelines.

• Familiarity with modern development tools (Git, CI/CD, etc.).

Bonus points if you’ve worked with:

CUDA kernel optimization, ONNX/TensorRT/OpenVINO, ROS2, SLAM, sensor fusion, or real-time inference pipelines.

Why You’ll Love It Here:

• Work at the bleeding edge of AI and robotics innovation.

• Collaborate with engineers and researchers from leading institutions.

• Directly impact real-world autonomous missions and commercial deployments.

• Competitive salary, meaningful equity, and comprehensive benefits (medical, 401(k), pet insurance, and more).

If you’re passionate about machine learning, robotics, and real-world impact, this is your chance to build something that truly matters.

Apply now and help define the next generation of autonomous intelligence.