Senior AI Research Engineer

People don't work at Standard Bots to make robots. They work here to make tomorrow easier. It’s fascinating, rewarding, and most of all, incredibly difficult to do. That’s why we’re searching for people who are up for the challenge. Who are optimistic about the future.

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Live demos from the floor — each one built on the skills above.

At Standard Bots, we're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform enables robots to tackle unprecedented challenges through an intuitive instruction interface, bringing the power of software automation to physical spaces.

We're seeking a Senior 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.

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 evaluation and debugging systems to:

Analyze model behavior and failure modes

Implement interpretability tools and visualization frameworks

Track and improve model metrics

Collaborate with engineering team to optimize training infrastructure and deployment

Have 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

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

PyTorch (experience with PyTorch required)

Python

NodeJS/Typescript

Docker

The salary range for this role is $225,000 to $250,000 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…