Note: The job is a remote job and is open to candidates in USA. Standard Bots is developing AI-powered robotic systems that make real-world automation more accessible. The Staff AI Research Engineer will develop and optimize large-scale AI 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
- Have 7+ 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