Senior AI Robotics Research Engineer

Saasventurecapital; New York (NY); On-site; USD 225,000 - 300,000; Full time

Benefits offered by this job

Stock Options

Paid Time Off

Health Insurance

401(k)

Job summary

Standard Bots is hiring a Senior AI Research Engineer to develop and optimize AI models and training systems for robotics applications. You’ll work across the stack, implementing scalable models and efficient training pipelines in a startup environment.

You will advance state-of-the-art techniques in diffusion and autoregressive models, focusing on practical deployment from data collection to real-world robot behavior. Collaboration with the engineering team is essential for deployment readiness.

Qualifications

• 5+ years of AI modeling experience in self-driving/robotics; PhD with 3+ years acceptable
• Proven track record deploying large-scale ML models
• Experience with diffusion and autoregressive models in a professional setting
• Familiar with end-to-end training/inference pipelines from sensors to trajectories in robotics
• Experience with reinforcement learning (RL) and modern ML architectures

Responsibilities

• Design and implement state-of-the-art ML models and training pipelines for robotics
• Lead model development with rapid experimentation and prototyping
• Optimize model performance and debugging; implement evaluation frameworks
• Collaborate with engineering to optimize training infrastructure and deployment

Skills

PyTorch

Python

NodeJS/TypeScript

Docker

Education

PhD in AI/ML

MS in AI/ML

Tools

Docker

PyTorch

NodeJS/TypeScript

Job description

Standard Bots is hiring a Senior AI Research Engineer to develop and optimize AI models and training systems for robotics applications. You’ll work across the stack, implementing scalable models and efficient training pipelines in a startup environment.

You will advance state-of-the-art techniques in diffusion and autoregressive models, focusing on practical deployment from data collection to real-world robot behavior. Collaboration with the engineering team is essential for deployment readiness.