Sr. Director of Machine Learning

What you'll do

• Lead and grow ML teams, set technical direction, and deliver AI services from problem framing through production operation.
• Own LLM application strategy and production standards, including orchestration, evaluation, reliability, safety, latency, and cost.
• Direct custom ML development and partner across clinical, product, infrastructure, and other teams to ensure appropriate validation and measurable impact.

What they ask for

• 14+ years of experience in machine learning and software engineering, including 8+ years leading ML teams and experience managing managers or senior tech leads.
• Track record shipping ML-powered products to production at scale and owning them operationally.
• Depth in modern LLM application development, including RAG, prompt engineering, fine-tuning and adaptation, evaluation, and agent and tool-calling architectures.
• Experience training and deploying deep learning models and strong software architecture judgment.

Nice to have

• Experience in healthcare, digital health, another regulated domain, or safety-critical ML systems.
• Experience with clinical decision support, clinical NLP, or ML systems where a human expert is the end user.

Pay

$330K – $360K (base salary)

Tools

LLMs, RAG, deep learning, classical ML

AI focus

Leads development of LLM-powered clinical and operational services, custom deep learning and classical ML models, and systems for evaluation, reliability, and human oversight.