Director of AI/ML

Bayesian Health, Inc. · Remote · Remote - US Only ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Director level role
  • Healthcare AI focus
  • Fully remote possible
  • PhD required
  • Early-stage startup

Join Bayesian Health as the Director of AI/ML to drive the technical strategy for products that empower clinicians with real-time data. You will build and mentor a high-performing team while partnering with Engineering to create scalable ML infrastructure.

This position requires a blend of leadership and individual contribution, where you will prototype models and debug production issues in a fast-paced environment. Your work will directly impact patient outcomes by translating complex clinical needs into robust machine learning solutions.

What you'll do

  • Build, mentor, and scale the AI/ML team with clear technical standards
  • Define and execute the machine learning roadmap and technical vision
  • Partner with Engineering to architect data warehousing and ML infrastructure
  • Contribute hands-on to critical modeling, evaluation, and analysis tasks
  • Translate clinical workflows into ML opportunities with cross-functional teams
  • Communicate model performance and impact to stakeholders and investors

What you'll need

  • PhD in Machine Learning, Computer Science, Statistics, or related field
  • 8+ years of experience shipping machine learning products
  • 3+ years leading ML teams at early-stage startups
  • Proven track record scaling teams in resource-constrained environments
  • Deep expertise in production ML systems and data infrastructure
  • Experience in healthcare or similarly regulated high-stakes industries

Nice to have

  • Experience leading ML organizations through 0-1 product development
  • Familiarity with clinical data standards like HL7, FHIR, and EHR
  • Background in modern data warehousing such as Snowflake or Databricks
  • Track record of publishing research or speaking at conferences
  • Expertise in time-series forecasting and anomaly detection

Stack

  • Snowflake
  • Databricks
  • Redshift
  • HL7
  • FHIR