Staff AI Research Engineer

Standardbots

New York, NY

Remote

Who this role is best for

A natural match if you have experience in autonomous vehicle ML and with diffusion and autoregressive models.

Best fit for

Candidates with 7+ years in autonomous vehicle ML and a history of deploying models in production environments
— “7+ years of AI modeling experience, specifically within the self-driving car industry”
Individuals who have led model iteration and optimization in high-stakes robotics applications
— “Lead model development and iteration with focus on: Performance optimization and model debugging”
Professionals with a background in adapting academic research to real-world deployment challenges
— “Have a background in implementing ML research papers and adapting academic work”

Things to consider

The role requires a high level of domain expertise in robotics and autonomous vehicles
— “proven background working on ML planning within the autonomous vehicle space”
This is a startup environment with small teams, requiring broad technical involvement
— “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”

How to stand out

Highlight your experience with diffusion and autoregressive models in robotics or autonomous vehicles
— “experience using the latest techniques in diffusion and autoregressive models in a professional setting”
Emphasize your ability to rapidly prototype and iterate on model architectures
— “Rapid experimentation and prototyping of new model architectures”
Showcase your work with training and deployment pipelines from sensor input to output
— “familiar with training inference and infra pipelines that go from camera input to trajectory output”
Demonstrate your ability to build robust evaluation systems and interpretability tools
— “Build robust evaluation and debugging systems to: Analyze model behavior and failure modes”
Include specific examples of deploying large-scale ML models in production
— “Proven track record developing and deploying large-scale ML models”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

develop AI models
optimize training infrastructure
deploy large-scale ML models

Typical background

7+ years of AI modeling experienceself-driving car industry experience

Skills & requirements

Required

ML Model DevelopmentTraining PipelinesModel EvaluationModel DebuggingModel Optimization

Preferred

Diffusion ModelsAutoregressive Models

Stack & domain

PyTorchPythonNodejs/typescriptProblem-solvingModel DevelopmentModel DebuggingAIRobotics

About the role

Original posting from Standardbots via Ashby

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:
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
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. 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.

Source: Standardbots careers (Ashby)