Staff AI Research Engineer

Standard Bots; United States; Remote; USD 250,000 - 300,000; Full time

Benefits offered by this job

Employee Stock Options

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k)

Job summary

Standard Bots is seeking a Staff AI Research Engineer to design and optimize large-scale AI models and training systems for robotics applications. You will blend deep ML expertise with scalable infrastructure in a startup environment.

Work across the stack with an agile team to deliver practical models from research to deployment, focusing on diffusion and autoregressive techniques, RL, and real-world robotics challenges.

Qualifications

• 7+ years of AI modeling experience in self-driving or related robotics.
• Proven track record deploying large-scale ML models.
• Experience with diffusion and autoregressive models in a professional setting.
• Experience with training/inference and infra pipelines from camera input to trajectory output for robotics.
• Experience with RL (reinforcement learning).
• Strong understanding of modern ML architectures and training techniques.

Responsibilities

• Design and implement state of the art ML models and training pipelines.
• Lead model development and iteration with focus on improving performance and reliability.
• Build robust evaluation and debugging systems for rapid experimentation.
• Collaborate with engineering to optimize training infrastructure and deployment.

Skills

AI modeling experience

Self-driving domain

Diffusion models

Autoregressive models

Model debugging & optimization

Reinforcement Learning

ML architecture & training

Experimentation pipelines

Education

PhD in AI/ML (optional with 3+ years in self-driving)

Tools

PyTorch

Python

NodeJS/TypeScript

Docker

Job description

About Standard Bots

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.

About the Role

We’re seeking a Staff 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:
• Lead model development and iteration with focus on:
• Build robust evaluation and debugging systems to:
• Collaborate with engineering team to optimize training infrastructure and deployment

You might thrive in this role if you:

• Have 7+ 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

Tech Stack

• PyTorch (experience with PyTorch required)
• Python
• NodeJS/Typescript
• Docker

Compensation and Benefits:

The salary range for this role is $250,000 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.

• paid time off
• medical/dental/vision insurance
• life insurance
• disability insurance
• 401(k)