Member of Technical Staff – Machine Learning
San Francisco Hybrid, 3 days/week $200K – $280K + equity
I’m partnering with a rapidly scaling healthtech startup that has just raised a $40M Series A to expand its engineering team. Their AI-powered platform is already helping clinicians by automating huge amounts of back-office work, and now they’re looking for a senior engineer to help take their copilots from demo to full production.
What you’ll do:
Build and scale machine learning systems that power real healthcare products
Work across the full ML lifecycle: from data pipelines, to model training, to deployment
Adapt and fine-tune large foundation models to real-world use cases
Help improve speed, cost, and performance of AI features in production
Provide technical leadership and mentor a junior ML engineer
What we're looking for
5+ years of experience building ML systems that are used in production
Strong Python skills (PyTorch or JAX experience is a plus)
Background taking research ideas into production-ready services
Good understanding of how to evaluate models and measure impact
Experience with modern LLM/AI techniques (LoRA, RAG, structured prompts, model optimisation)
If this sounds like a good fit and you'd like to know more, please apply and we'll be in touch.