Robot Machine Learning Engineer
Deft Robotics · San Francisco, CA · 2 mo ago
On-siteEngineeringFull-time
About the role
Responsible for designing, implementing, and maintaining machine learning models to enhance robot performance and efficiency.
Responsibilities
- Develop and optimize machine learning algorithms for robotic applications.
- Collaborate with cross-functional teams to integrate ML solutions into existing robotic systems.
- Conduct research on emerging ML techniques and their applicability to robotics.
- Train and mentor junior engineers in machine learning best practices.
Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field.
- At least 3 years of experience in machine learning and robotics.
- Strong proficiency in Python and other relevant programming languages.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of ROS (Robot Operating System) and experience with robotics software development.
Qualifications
- Excellent problem-solving skills and ability to work independently and as part of a team.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
- Passion for innovation and continuous learning in the field of machine learning and robotics.
Skills
- Proficiency in machine learning libraries and tools.
- Experience with data preprocessing and model evaluation techniques.
- Understanding of ethical considerations in AI and robotics.
Benefits
- Competitive salary commensurate with experience.
- Flexible working hours and remote work options.
- Professional development opportunities and access to cutting-edge technology.
- Health insurance and retirement plan contributions.
Pay
Salary range: $100,000 - $150,000 annually.
Schedule
Full-time position with flexible working hours.