Member of Technical Staff - Machine Learning

Quantix Search; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A growing healthtech startup in San Francisco is seeking a Member of Technical Staff – Machine Learning to build and scale machine learning systems for their AI-powered platform. You will have 5+ years of experience with ML systems in production and strong skills in Python. This role involves working across the ML lifecycle and providing technical leadership. Competitive compensation and a supportive work environment are offered.

Qualifications

• 5+ years of experience building ML systems used in production.
• Strong Python skills, experience with PyTorch or JAX is a plus.
• Experience taking research ideas into production-ready services.

Responsibilities

• Build and scale machine learning systems for healthcare products.
• Work across the ML lifecycle from data pipelines to deployment.
• Provide technical leadership and mentor a junior ML engineer.

Skills

Machine Learning systems

Python

Model evaluation

Technical leadership

Job description

Member of Technical Staff – Machine Learning

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.