Robotics Engineer
Mindbeam AI
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Designing and implementing visuomotor, reasoning, and action policies in simulation environments.
- Cross-collaborate with researchers and engineers in implementing VLA models into physical robotic hardware.
- Evaluate algorithmic efficiency and improve benchmark metrics for learning procedures.
- Display initiative and independence in providing rapid results through data collection, prototyping, model training, evaluation, and deployment.
- Participate in scientific communication of research through external publications and presentations.
Requirements
- Proficiency in C/C++ or Python for ML/Robotics.
- Experience with PyTorch or any equivalent modern deep learning framework.
- Familiarity with developing simulation environments for rapid feedback loops.
- Experience with implementing reinforcement learning algorithms on real robots.
- At least 3 years of industry experience.
- MSc or PhD in Mechanical Engineering or Computer Engineering.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
C/C++PythonPyTorchreinforcement learningalgorithmic efficiencymodel trainingdata collectionsimulation environmentsbenchmark metricsrobotics
Soft Skills
initiativeindependencecross-collaborationscientific communication
Certifications
MScPhD