AI Research Engineer

Saasventurecapital; San Francisco (CA); Hybrid; USD 250,000 - 300,000; Full time

Benefits offered by this job

Employee Stock Options

Paid time off

Medical/dental/vision insurance

Life insurance

Disability insurance

401(k)

Job summary

Saasventurecapital is looking for a Principal Machine Learning Lead in San Francisco to drive innovations in AI and robotics. Ideal candidates will have over 5 years of experience, particularly in the self-driving industry, and a strong foundation in developing and optimizing ML models. The role includes designing ML systems and collaborating with engineering teams. The compensation package ranges from $250,000 to $300,000 annually with stock options and comprehensive benefits.

Qualifications

• 5+ years of AI modeling experience in self-driving car industry or PhD with 3+ years.
• Proven track record in developing and deploying large-scale ML models.
• Experience with modern ML architectures and training techniques.

Responsibilities

• Design and implement state-of-the-art ML models and training pipelines.
• Lead model development focusing on rapid experimentation.
• Build robust evaluation and debugging systems.

Skills

AI modeling experience

ML model debugging

Knowledge of diffusion models

Reinforcement learning

Collaboration with engineering teams

Education

PhD in relevant field or 5+ years experience

Tools

PyTorch

Python

NodeJS/Typescript

Docker

Job description

Location

New York City, NY, Seattle, WA, San Francisco, CA

Employment Type

Full time

Location Type

Hybrid

Department

Software

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 Principal Machine Learning Lead 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 $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.