Quantix Search
Member of Technical Staff - Machine Learning
Quantix Search, Sonoma, California, United States, 95476
Member of Technical Staff
Machine Learning San Francisco | Hybrid, 3 days/week | $200K
$280K + equity
Im 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 theyre looking for a senior engineer to help take their copilots from demo to full production.
What youll 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.
Machine Learning San Francisco | Hybrid, 3 days/week | $200K
$280K + equity
Im 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 theyre looking for a senior engineer to help take their copilots from demo to full production.
What youll 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.