ML Engineer - Computer Vision & Robotics (Remote)

Roboticsconnected; United States; Remote; USD 162,000 - 170,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Flexible time off

Paid holidays

Job summary

AMP Robotics is seeking a Machine Learning Engineer to develop deep learning models and ship them to production, focusing on computer vision for robotics. You will work as an individual contributor on the perception team, bringing ideas from ideation to deployment and collaborating with data science and cloud teams.

The role requires a Master’s in CS/ML or equivalent, 4+ years Python and statistical modeling experience, and strong PyTorch expertise.

Qualifications

• Master’s degree in Computer Science, ML, or related field.
• 4+ years writing production-level Python code.
• 4+ years implementing statistical models in production.
• Proficiency with software engineering practices.
• Strong familiarity with PyTorch.
• Experience with experiment design and execution.
• Research fluency in deep learning.

Responsibilities

• Design and ship deep learning perception solutions and R&D experiments.
• Collaborate with AI Data Team and Cloud infra engineers.
• Translate research prototyping to production deployments.
• Support ML infrastructure and tooling.
• Act as subject matter expert for experiment design and modeling.

Skills

Python production coding

Statistical modeling

Software engineering practices

PyTorch

Experiment design

Deep learning research

Education

Master’s degree in Computer Science / Machine Learning or equivalent

Tools

PyTorch

TensorRT

SQL databases

Job description

AMP Robotics is seeking a Machine Learning Engineer to develop deep learning models and ship them to production, focusing on computer vision for robotics. You will work as an individual contributor on the perception team, bringing ideas from ideation to deployment and collaborating with data science and cloud teams.

The role requires a Master’s in CS/ML or equivalent, 4+ years Python and statistical modeling experience, and strong PyTorch expertise.