AI Research Engineer

Reposted 3 Days Ago
Be an Early Applicant
3 Locations
Hybrid
225K-300K Annually
Senior level
Artificial Intelligence • Productivity • Robotics • Industrial • Generative AI • Automation • Manufacturing
American AI-centric robotics company
The Role
Develop and optimize AI models and training systems for robotics applications, focusing on design, implementation, and performance optimization of ML models.
Summary Generated by Built In
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 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 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 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

Tech Stack
  • PyTorch (experience with PyTorch required)

  • Python

  • NodeJS/Typescript

  • Docker

Compensation and 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.

Skills Required

  • 5+ years of AI modeling experience in self-driving car industry or PhD with 3+ years
  • Proven track record developing and deploying large-scale ML models
  • Experience with latest techniques in diffusion and autoregressive models
  • Familiarity with training inference pipelines from camera input to trajectory output
  • Experience with reinforcement learning
  • Strong understanding of modern ML architectures and training techniques
  • Experience with model debugging, optimization, and performance tuning
  • Background in implementing ML research papers

Standard Bots Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Standard Bots and has not been reviewed or approved by Standard Bots.

  • Fair & Transparent Compensation Pay is considered competitive for engineering roles, with total packages positioned strongly for robotics/AI startup markets. Feedback suggests compensation is structured to attract senior technical talent.
  • Equity Value & Accessibility Equity is widely offered through stock options, with some materials also citing an employee stock purchase plan. Feedback suggests ownership is a meaningful component of total rewards.
  • Leave & Time Off Breadth Generous or flexible time-off policies, including unlimited PTO and floating holidays, are highlighted. Flexible scheduling and remote-work programs help support time-off utilization.

Standard Bots Insights

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The Company
HQ: Glen Cove, NY
130 Employees
Year Founded: 2020

What We Do

Standard Bots is redefining the field of robotics with its AI-powered robots which are designed and assembled in the U.S. Unlike traditional robots, which require complex programming, Standard Bots' innovative technology allows users to program robots through simple demonstration, making automation accessible to everyone. This approach facilitates the collection of high-quality training data, empowering our AI models to provide real-time control of robots that adapt to changing conditions. With the goal of enabling businesses of all sizes to deploy robots quickly and easily, Standard Bots builds products for a wide range of industrial and commercial use cases. For more information, visit standardbots.com

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