Standardbots
Senior AI Research Engineer
New York City, NY, Remote. Posted a month ago
The role
A Senior AI Research Engineer will develop and optimize AI models and training systems. You will design and implement state of the art ML models and training pipelines for robotics applications.
What you will do
- 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
- 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
- Collaborate with engineering team to optimize training infrastructure and deployment
Required qualifications
- 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
- Experience using the latest techniques in diffusion and autoregressive models in a professional setting
- Familiarity with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics
- Experience with RL (reinforcement learning)
- Strong understanding of modern ML architectures and training techniques
- Experience with model debugging, optimization, and performance tuning
- Background in implementing ML research papers and adapting academic work
- PyTorch (experience with PyTorch required)
- Python
- NodeJS/Typescript
- Docker
Benefits
- Employee Stock Options
- paid time off
- medical/dental/vision insurance
- life insurance
- disability insurance
- 401(k)
About the company
Standard Bots is revolutionizing real-world automation by making robotic systems accessible to everyone. Their AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface.