Idler Logo

Idler

Create Your Own Role

Posted 4 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA
Entry level
In-Office
San Francisco, CA
Entry level
Join a frontier AI research lab building rigorous evaluation environments and training data for advanced machine learning models. The role is intentionally flexible, allowing candidates to define how their expertise can accelerate the team. Success requires exceptional achievement in a competitive field, curiosity, speed, adaptability, and enthusiasm for teaching machines to think. This is an in-person position in San Francisco with competitive compensation, equity, benefits, meals, and relocation assistance.
The summary above was generated by AI

About idler

idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.

After raising a $9m seed round led by Paradigm, we spent the last year developing coding evals for top coding models you know and love. At the same time, we've expanded into other domains besides coding: RSI & Auto-Research, Law, Enterprise Business, Cybersecurity, and others. Now, we are facing more lab demand for our data than we can serve, and are rapidly scaling the team to grow the business.

Our approach to creating training data scales using technology, and all of our data products are built on a unified self-reinforcing platform that learns through experience.

You would be joining a close-knit team that has reached product market fit, and your work would directly help to multiply our revenue.

You can see some of our work here: https://idler.ai/collections

About the role

We learned how to make great RL environments from scratch last year with no prior experience. Our team is an unorthodox, spiky group. Members with backgrounds ranging from game design and compilers to law and poetry have all made excellent contributions. If you think your skillset can help us accelerate, we’d love to hear how and why

Examples of what you’ll do

You tell us :)

What we’re looking for

  • Demonstrated elite performance in a specific, competitive arena

  • Curiosity, speed, and comfort with dynamic priorities

  • Desire to want to join a fast-moving team figuring out how to teach machines to think

Details

  • In-person in San Francisco

  • Competitive salary + meaningful equity

  • Free meals in office

  • Healthcare, 401(k), 15 days of PTO per year

  • Relocation assistance

  • Small, ambitious team

This is an in-person role in San Francisco. We're a tight-knit founding team and we play to win. Join us if you like to win too.

Similar Jobs at Idler

Idler Logo
Idler

Scientist

4 Days Ago
In-Office
Junior
Junior
Artificial Intelligence
Own the measurement and improvement of model learning from tasks. Collaborate with frontier labs to design post-training recipes and data-quality techniques, run in-house evaluation systems, develop datasets and data products, assess acquired data, and build scalable ingestion and evaluation systems. The role requires production reinforcement learning experience at a frontier lab and end-to-end LLM post-training expertise.
Top Skills: CursorNode.jsPostgresReactRedisTypescriptVercel
Idler Logo
Idler

Design Engineer

4 Days Ago
In-Office
125K-300K Annually
Junior
125K-300K Annually
Junior
Artificial Intelligence
Own the user experience for customer and internal applications, creating intuitive interfaces for inspecting and interacting with reinforcement learning environments. Build reusable UI, layout, UX, and marketing design systems; develop performant full-stack applications; and instrument and visualize environment tracking across many steps and iterations. The role requires strong product thinking, design taste, engineering precision, user testing, and rapid iteration.
Top Skills: CursorNode.jsPostgresReactRedisTypescriptVercel
Idler Logo
Idler

Forward Deployed Engineer

4 Days Ago
In-Office
Entry level
Entry level
Artificial Intelligence
Own the end-to-end process of transforming partner workflows into evaluation datasets and reinforcement learning environments. Work directly with AI researchers, executives, and organizational leaders to identify capability gaps, manage technical and relationship lifecycles, shape the product roadmap, and build reusable infrastructure that improves partner onboarding. The role requires strong engineering, communication, systems thinking, judgment, ownership, and comfort in an ambiguous, high-intensity environment.
Top Skills: PythonReinforcement LearningTypescript

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account