Evolution USA ยท 12 hours ago
Machine Learning Engineer (Robotics and/or Computer Vision) - Series A Startup
Boston, MA
Full-time
Onsite
Mid Level
$170K/yr - $250K/yrEvolution USA is a fast-growing tech company focused on building next-generation autonomous systems. They are seeking a Machine Learning Engineer to design, train, and deploy ML models for advanced computer vision and robotic perception, integrating these systems into real-world hardware platforms.
Staffing & Recruiting
Hiring Manager
Chris Hopkins
Responsibilities
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
Qualification
Required
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.)
Preferred
CUDA kernel optimization
ONNX/TensorRT/OpenVINO
ROS2
SLAM
sensor fusion
real-time inference pipelines
Benefits
Medical
401(k)
Pet insurance
Company
Evolution USA
Evolution is an award-winning specialist tech recruitment consultancy with offices in USA, Singapore, Sydney, Germany and UK.
11-50 employees
H1B Sponsorship
Evolution USA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
Funding
Current Stage
Early StageCompany data provided by crunchbase