research
Posted Jan 24AI Research Engineer
New York City, United StatesRemote
Requirements
- Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface, bringing the power of software automation to physical spaces.
- ABOUT THE ROLE We're seeking an AI Research Engineer to develop and optimize our AI models and training systems.
- This is an exciting opportunity to apply your deep ML expertise to cutting-edge AI/robotics applications.
- You'll work closely with our engineering team to design, implement, and iterate on large-scale AI models while building efficient systems for rapid experimentation and deployment.
- We have a small team of AI engineers, so we’re looking for someone who is excited to work at a startup, and work across the stack to do what is needed to get a model that achieves a customer problem.
- We're looking for an experienced engineer ready to make a tangible impact in the AI robotics revolution.
- This role requires a proven background working on ML planning within the autonomous vehicle space with
- experience using the latest techniques in diffusion and autoregressive models in a professional setting.
- If you're excited about building the latest advancements in AI and working in the robotics space, we’d love to hear from you. IN THIS ROLE,
- YOU WILL: - 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
- 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 TECH STACK - PyTorch (experience with PyTorch required) - Python - NodeJS/Typescript - Docker COMPENSATION AND
Benefits
- BENEFITS: The salary range for this role is $225,000 to $300,000, depending on experience.
- We are open to a variety of seniority levels for this role and will build compensation packages that are commensurate with seniority and skill level.
- Base salary is just one part of the overall compensation at Standard Bots.
- All Full-Time Employees are eligible for Employee Stock Options.
- We also offer a package of
- benefits including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees.
Additional details
- ABOUT STANDARD BOTS At Standard Bots, we're revolutionizing real-world automation by making robotic systems accessible to everyone.