Senior Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Engineering Manager (AI): Leading the Machine Learning Engineering team to bridge the gap between research and production with an accent on model fine-tuning, inference, and deployment at scale. Focus on building infrastructure for LLMs, mentoring high-performing teams, and driving the technical vision for healthcare revenue cycle solutions.
Location: Remote (United States). The role is hybrid-friendly for those near South San Francisco, with an expectation to attend the office every Wednesday.
Salary: $230,000–$310,000 + Equity
Company
is a leader in generative AI for the healthcare revenue cycle, building solutions to streamline clinical operations and documentation accuracy for major health systems.
What you will do
- Lead and mentor a talented team of machine learning engineers.
- Oversee the end-to-end LLM stack, including model fine-tuning, evaluation, and production deployment.
- Develop tooling and infrastructure to optimize the machine learning development lifecycle.
- Collaborate cross-functionally to translate business requirements into high-performance technical designs.
- Set long-term team vision and drive talent acquisition.
Requirements
- Must be based in the United States.
- 7+ years of professional experience in Machine Learning.
- 5+ years of direct people management experience.
- Hands-on experience fine-tuning and training models in production environments.
- Deep proficiency in Python, PyTorch, and Kubernetes.
- Practical experience with LLMs, RAG, and embedding technologies.
Nice to have
- MS or PhD in Computer Science with an emphasis in Machine Learning.
Culture & Benefits
- Flexible paid time off policy.
- Comprehensive health, dental, and vision insurance with HSA contributions.
- 401(K) retirement plan.
- Generous parental leave and life insurance coverage.
- Stipends for home office and cell/internet expenses.
- Collaborative team culture with in-person co-working days for R&D staff.
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