AI Research Engineer
Collaborative RoboticsVisit Collaborative Robotics website
Collaborative Robotics, branded as Cobot, develops and deploys collaborative mobile robots for material-handling work alongside people.
Santa Clara, United States
Funding history
About Collaborative Robotics
Its commercially available Proxie robot combines autonomous mobility, manipulation, perception, and fleet-management software for hospitals, manufacturing floors, and logistics facilities.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and iterate on machine-learning pipelines for foundational models. You will train and evaluate transformer, diffusion, and reinforcement-learning models, turn research ideas into working code, integrate ML components into real-world systems, and share AI research insights.
Requirements
- Master’s degree in Machine Learning, AI, Computer Science, or a related technical field
- At least 3 years of applied ML research and software engineering experience
- Experience training large-scale ML models such as transformers or diffusion models
- Understanding of reinforcement learning
- Python proficiency
- Experience with PyTorch, JAX, or TensorFlow
- Ability to write clean, efficient, scalable code
- Collaboration and communication skills
- US work authorization
Responsibilities
- Design, build, and iterate on experimental ML pipelines
- Implement and train transformer and diffusion-based models
- Develop and evaluate reinforcement-learning algorithms and frameworks
- Prototype and deploy research ideas into working code
- Integrate ML components into real-world systems
- Share AI research insights internally and externally
Benefits
- Relocation stipend for eligible candidates relocating to the Seattle office