Staff AI Robotics Research Engineer (Equity Options)

Standard Bots; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Employee Stock Options

Paid time off

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k)

Job summary

Standard Bots in New York is seeking a Staff AI Research Engineer to develop and optimize AI models and training systems for robotics applications. You will design, implement, and iterate on large-scale models and build efficient pipelines for rapid experimentation and deployment with a small startup team.

The role requires experience with diffusion and autoregressive models, ML planning for autonomous systems, RL, and transforming research ideas into production-ready solutions.

Qualifications

• 7+ years AI modeling experience in self-driving or related robotics space.
• Proven track record deploying large-scale ML models.
• Experience with diffusion and autoregressive models in a professional setting.
• Experience with training/inference pipelines from sensors to actions.
• RL experience and strong ML architecture knowledge.
• Ability to implement research papers and adapt them for production.
• Strong debugging, optimization, and performance tuning skills.
• Experience turning research into practical robotics software.

Responsibilities

• Design and implement state-of-the-art ML models and training pipelines.
• Lead model development with rapid experimentation and prototyping.
• Build robust evaluation and debugging systems; track metrics.
• Collaborate with engineering to optimize training infra and deployment.

Skills

AI modeling

Diffusion models

Autoregressive models

RL (reinforcement learning)

Model debugging

Performance tuning

Transfer learning

Large-scale ML deployment

Education

PhD in related field

Tools

PyTorch

Python

NodeJS/Typescript

Docker

Job description

Standard Bots in New York is seeking a Staff AI Research Engineer to develop and optimize AI models and training systems for robotics applications. You will design, implement, and iterate on large-scale models and build efficient pipelines for rapid experimentation and deployment with a small startup team.

The role requires experience with diffusion and autoregressive models, ML planning for autonomous systems, RL, and transforming research ideas into production-ready solutions.