Member of Technical Staff - Machine Learning Engineer
Quick Summary
Build AI to co-invent the future Our mission is to empower people to invent solutions for the world’s hardest problems, working together with scalable and reliable AI agents.
Design, train, and evaluate hybrid AI systems that perform well at scale and make optimal trade-offs. Build scalable data processing and machine learning systems Solve min-max problems: how can we do more with less?
Our mission is to empower people to invent solutions for the world’s hardest problems, working together with scalable and reliable AI agents. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust.
Our team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon.
We move fast, think from first principles, and build with purpose. We believe that great results come when people take ownership, grow together, and share both the challenges and the wins.
Responsibilities
~1 min readBuild the next generation of machine learning systems that are reliable and scalable, for research and production. You make agents work, from data processing, training, inference, evaluation, to other components. You work closely with research and product teams.
You have a strong track record designing, building, and deploying ML systems
You can write clean, maintainable, and performant code in Python, and at least one other language (C++, Rust, Go, etc)
You think from first principles and can learn quickly
You communicate clearly in writing and conversation
You take ownership, set a high bar, and get things done quickly
Nice to Have
~1 min readExperience with distributed training, large datasets, and modern AI serving infrastructure
Experience with cloud infrastructure and toolchains
What We Offer
~1 min readWe offer competitive compensation + stock options, full health coverage, and a 401(k) match, plus additional wellness perks, flexible hours, and unlimited PTO. We prioritize growth and connection through daily meals in the office, learning budgets, and regular team socials.
Location & Eligibility
Listing Details
- Posted
- January 28, 2026
- First seen
- May 5, 2026
- Last seen
- August 23, 2026
Posting Health
- Days active
- 104
- Repost count
- 0
- Trust Level
- 13%
- Scored at
- August 18, 2026
Signal breakdown
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