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 productionStrong Python skills (PyTorch or JAX experience is a plus)Background taking research ideas into production-ready servicesGood understanding of how to evaluate models and measure impactExperience 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.