About the Role
Our Mission We are dedicated to bringing the joy of care back to medicine by helping AI and healthcare professionals work in harmony. Currently, we leverage ambient AI to automate documentation, allowing clinicians to focus on providing care rather than documenting it. Our technology, trained using one of the world’s largest databases of patient conversations, empowers providers by transforming these conversations into fully customizable, detailed clinical notes.
About the Role We are seeking a Lead ML Infrastructure Engineer to spearhead the development of our core ML training, inference, and evaluation platforms. This role involves building robust infrastructure to power our AI-driven clinical documentation models and crafting tools for rapid model development and deployment. There is a people management opportunity for the right candidate.
Your Responsibilities
- Lead the development of our ML infrastructure to support the development of our in-house LLM for clinical documentation.
- Ensure the reliability, performance, and security of our training data pipelines.
- Build our core inference infrastructure.
- Collaborate with product engineering teams to build production systems at scale that power the products our customers use every day.
- Leverage industry best practices to improve our customer-facing AI models that our customers rely on.
About You
- You have 5+ years of experience in building and scaling performant software infrastructure.
- You have a track record of deploying ML models and familiarity with the full lifecycle of model development.
- You’re an effective team player and communicator, able to work across functions to find effective solutions.
- You have experience mentoring engineers across teams, including other senior engineers.
Perks and Benefits
- $150,000 to $250,000 annual salary
- Meaningful equity stake in the company
- Flexible PTO
- Work from home stipend
- Medical, Dental, Vision, 401K, and other benefits
About the Team We value trust, teamwork, and transparency, and we’re dedicated to promoting diversity and equity in the workforce through inclusive hiring practices. Candidates with backgrounds that are underrepresented in the technology industry are encouraged to apply.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required eligibility verification form upon hire.