Bayesian Health is looking for a Director of AI/ML to lead our AI/ML organization with a hands-on, scrappy approach. You will be responsible for setting the technical vision, rolling up your sleeves on critical modeling work, and building a team that ships breakthrough ML products that save lives in hospitals nationwide. Our mission is to improve patient outcomes by empowering clinicians with the insights they need at the point-of-care.
What You'll Do
- Build, mentor, and scale a world-class AI/ML team, establishing technical standards, career development frameworks, and a culture of excellence.
- Define and execute the ML roadmap while partnering closely with Engineering to architect data warehousing solutions, ML infrastructure, and data pipelines.
- Contribute directly to critical modeling, evaluation, and analysis work, ensuring the team ships high-quality ML systems that deliver measurable clinical impact.
- Collaborate cross-functionally to translate complex clinical workflows into ML opportunities and communicate model performance to both technical and non-technical stakeholders.
What We're Looking For
- A Ph.D. in Machine Learning, Computer Science, Statistics, or a related field.
- 8+ years shipping ML products, with 3+ years leading ML teams at early-stage startups.
- A proven track record building and scaling high-performing data science and ML engineering teams in resource-constrained, scrappy environments.
- Deep technical expertise in production ML systems and data infrastructure, including hands-on experience with data warehousing, real-time prediction, model monitoring, and performance evaluation.
- Experience working with healthcare or similarly regulated industries where model decisions have high-stakes real-world consequences.
Nice to Have
- Experience leading ML organizations through 0-1 product development in healthcare or clinical settings, thriving in environments with limited tooling and infrastructure.
- Hands-on experience with clinical data standards (HL7, FHIR, EHR) and healthcare ML challenges including data quality, time-series forecasting, and anomaly detection.
- A strong technical background in data platform architecture, including modern data warehousing solutions (Snowflake, Databricks, Redshift), streaming data systems, and ML infrastructure tools.
- A track record of publishing research, speaking at conferences, or contributing to the broader ML community while delivering business results.
Technical Stack
- HL7
- FHIR
- EHR
- Snowflake
- Databricks
- Redshift
Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
