Bayesian Health
Director of AI/ML
Remote - US Only · Remote · Director · Full-time · Posted Jan 9, 2026
- Experience
- 8+ years shipping ML products and 3+ years leading ML teams at early-stage startups.
- Education
- Ph.D. in Machine Learning, Computer Science, Statistics, or a related field.
About the job
Leads Bayesian Health’s AI/ML organization, setting technical strategy, building the team and infrastructure, and contributing hands-on to machine-learning products for clinical care.
What you'll do
- Build, mentor, and scale the AI/ML team and establish technical standards and career development.
- Set the ML roadmap and partner with Engineering on data warehousing, ML infrastructure, and data pipelines.
- Contribute to modeling and evaluation, and collaborate across teams to translate clinical workflows into ML products.
What they ask for
- Ph.D. in Machine Learning, Computer Science, Statistics, or a related field.
- 8+ years shipping ML products and 3+ years leading ML teams at early-stage startups.
- Track record building and scaling high-performing data science and ML engineering teams in resource-constrained environments.
- Production ML and data-infrastructure expertise, including data warehousing, real-time prediction, model monitoring, and performance evaluation; experience in healthcare or similarly regulated industries.
Nice to have
- Experience leading healthcare or clinical ML organizations through 0-1 product development; familiarity with HL7, FHIR, EHR, and healthcare ML challenges.
- Background in data platform architecture, including Snowflake, Databricks, or Redshift; research publications, conference speaking, or ML community contributions.
Tools
HL7, FHIR, EHR, Snowflake, Databricks, Redshift
AI focus
Set AI/ML strategy and lead a team building and deploying models for clinical care, including hands-on modeling, evaluation, and production performance work.
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