Note: The job is a remote job and is open to candidates in USA. Standard Bots is revolutionizing real-world automation through AI-powered robotic systems. The Senior AI Research Engineer will develop and optimize machine learning models and training systems for robotics, lead experimentation and model iteration, build evaluation and debugging systems, and collaborate on training infrastructure and deployment.
Responsibilities
- Design and implement state of the art ML models and training pipelines: + Apply novel machine learning techniques to wide range of robotics applications + Develop efficient data and training strategies + Implement model evaluation frameworks and metrics tracking
- Lead model development and iteration with focus on: + Rapid experimentation and prototyping of new model architectures + Performance optimization and model debugging + Transfer learning and fine-tuning strategies
- Build robust evaluation and debugging systems to: + Analyze model behavior and failure modes + Implement interpretability tools and visualization frameworks + Track and improve model metrics
- Collaborate with engineering team to optimize training infrastructure and deployment
Skills
- We're looking for an experienced engineer ready to make a tangible impact in the AI robotics revolution. This role requires a proven background working on ML planning within the autonomous vehicle space with experience using the latest techniques in diffusion and autoregressive models in a professional setting
- Have 5+ years of AI modeling experience, specifically within the self-driving car industry (or PhD with 3+ years of AI modeling experience in the self-driving car industry)
- Proven track record developing and deploying large-scale ML models
- Have experience using the latest techniques in diffusion and autoregressive models in a professional setting
- Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics
- Have experience with RL (reinforcement learning)
- Have a strong understanding of modern ML architectures and training techniques
- Have experience with model debugging, optimization, and performance tuning
- Have a background in implementing ML research papers and adapting academic work
- PyTorch (experience with PyTorch required)
Benefits
- All Full-Time Employees are eligible for Employee Stock Options.
- Paid time off
- Medical/dental/vision insurance
- Life insurance
- Disability insurance
- 401(k) to regular full-time employees
Company Overview