AI Research Engineer

Role Overview

Join Standard Bots as an AI Research Engineer to develop and optimize AI models and training systems for advanced AI/robotics applications. You’ll collaborate with engineering to design, implement, and iterate on large-scale models while building infrastructure that enables fast experimentation and deployment.

Key Missions

• Design and implement state-of-the-art ML models and training pipelines for a range of robotics applications.
• Lead model development and iteration, focusing on:
  • rapid experimentation
  • performance optimization
  • model debugging
• Collaborate on training infrastructure and deployment, ensuring efficient systems from research iteration to deployment.

Requirements

• Proven experience with ML planning in the autonomous vehicle space.
• Professional experience using diffusion and autoregressive model techniques.
• Strong understanding of modern ML architectures and training techniques.
• Ability to implement ML research papers and adapt academic methods.
• Familiarity with end-to-end pipelines: camera input → trajectory output for self-driving/robotics.
• Experience with RL (reinforcement learning).
• 5+ years of AI modeling experience in the self-driving car industry OR a PhD with 3+ years in that domain.
• Proven track record developing and deploying large-scale ML models.
• Experience with model debugging, optimization, and performance tuning.

Nice-to-haves

• Excitement for advancing AI and working in robotics; strong motivation to build and iterate on cutting-edge research.