Liquid AI
Member of Technical Staff - Inference Systems
Boston · Staff+ · Full-time
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About the role
- Member Of Technical Staff, Infrastructure
- Our inference stack is central to everything we ship.
- Day to day, that means working closely with research and product, but also directly with external engineering teams.
Responsibilities
- Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability.
Requirements
- Doesn't consider a model port finished until you can prove the outputs are correct.
- Hands-on experience with at least one inference framework like llama.cpp, ONNX Runtime, or MLX, going beyond basic usage into internals and modification.
Nice to have
- Experience porting models across runtimes and verifying numerical correctness.
- Familiarity with edge inference targets and the constraints that come with them.
- You've ported LFM2 onto multiple runtimes and platforms, you know the model inside out, and new ports take you a fraction of the time they did at the start.
Compensation
- Competitive base salary with equity in a unicorn-stage company
- We pay 100% of medical, dental, and vision premiums for employees and dependents
- 401(k) matching up to 4% of base pay
Benefits
- Compensation: Competitive base salary with equity in a unicorn-stage company
- Health: We pay 100% of medical, dental, and vision premiums for employees and dependents
- Time Off: Unlimited PTO plus company-wide Refill Days throughout the year
Company info
- We are scaling rapidly and need exceptional people to help us get there.
- We partner with enterprises across consumer electronics, automotive, life sciences, and financial services.
- You'll be a core part of the team responsible for the engine layer that runs our models in production and in partner environments, and for the benchmarking infrastructure we use to evaluate our own work and verify what partners bring to us.
This listing is sourced directly from Liquid AI's careers page and normalized into a canonical job model.