Founding ML Infrastructure Engineer
LB367
Posted: 03/03/2026
- $200,000 - $250,000
- San Francisco Bay Area
Founding ML Infrastructure Engineer
In-Person | San Francisco
A well-funded AI research lab (evolving into a product company) is building adaptive, memory-driven AI systems that learn continuously from use.
They’re now hiring a Founding ML Infrastructure Engineer to build the systems layer that makes this possible — from training and evaluation to serving and memory infrastructure.
The Role
- Build scalable training and fine-tuning pipelines (LoRA, adapters, continual learning)
- Design memory and retrieval systems for long-term context
- Deploy and optimise large models (local + API-based)
- Own inference, monitoring, versioning, and model reliability in production
- Architect infrastructure across GPUs, storage, and scaling
What They’re Looking For
- Strong experience building ML infrastructure in production
- Deep understanding of training and inference systems
- Experience with distributed training or large model serving
- Strong instincts around evaluation, monitoring, and model drift
- Comfortable operating in research-adjacent, ambiguous environments
The Opportunity
- Founding-level impact
- ~$50M raised from tier-one investors
- Long runway, high-calibre team
- Building AI systems that evolve — not static models
Ideal for someone who thinks in systems, not just models, and wants to define how adaptive AI is deployed in the real world.
Anna Heneghan
Head of Machine Learning & AI Recruitment