Member of Technical Staff - Machine Learning Engineer at Asari AI (San Francisco, CA)
Asari AI· San Francisco, CA·
Role details
Job description
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. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust asari.ai/space-grade-software.
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.
What you'll do
Build 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.
What you have
- 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
- Experience with distributed training, large datasets, and modern AI serving infrastructure
- Experience with cloud infrastructure and toolchains
Compensation, benefits, and perks
We 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.
Why work at Asari AI
- Remote-friendly culture with in-office options in San Francisco and Montréal. Employees work remotely but have access to two office hubs.
- Founding-stage impact – join a tight-knit team of ~8 people backed by world-class investors and advisors.
- Cutting-edge AI research – work on novel agent frameworks published at top venues like NeurIPS.
- Tech stack includes PyTorch, CUDA, Kubernetes, Docker, Python, Rust, PostgreSQL, and modern ML ops (MLflow, Grafana, Prometheus).
- Active hiring for roles: Kernel Engineer, Machine Learning, Infrastructure, and Business Development Lead – indicating growth and investment in core engineering.