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Bayesian Health · 3 days ago

Director of AI/ML

United States

Full-time

Remote

Director/Executive

8+ years exp

Bayesian Health is an early-stage startup on a mission to make healthcare proactive by empowering healthcare professionals with real-time data. As the Director of AI/ML, you will lead the machine learning organization, set technical vision, and build a high-performing team to develop impactful ML products.

Artificial Intelligence (AI)Health CareInformation Services

Responsibilities

Build, mentor, and scale a world-class AI/ML team, establishing technical standards, career development frameworks, and a culture of excellence and ownership

Define and execute the ML roadmap while partnering closely with Engineering to architect data warehousing solutions, ML infrastructure, and data pipelines that enable the team to rapidly prototype and deploy models at scale

Contribute directly to critical modeling, evaluation, and analysis work, from studies to model performance experiments, ensuring the team ships high-quality ML systems that deliver measurable clinical impact

Collaborate with Engineering, Product, and Clinical to translate complex clinical workflows into ML opportunities, and communicate model performance and impact to technical and non-technical stakeholders including customers and investors

Qualification

Machine LearningData InfrastructureTeam LeadershipHealthcare ExperienceData WarehousingModel MonitoringStatistical AnalysisResearch PublicationTechnical CommunicationProblem Solving

Required

Ph.D. in Machine Learning, Computer Science, Statistics, or related field with 8+ years shipping ML products, and 3+ years leading ML teams at early stage startups

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

Preferred

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

Strong technical background in data platform architecture, including modern data warehousing solutions (Snowflake, Databricks, Redshift), streaming data systems, and ML infrastructure tools

Track record of publishing research, speaking at conferences, or contributing to the broader ML community while delivering business results

You bring passion and enthusiasm to your work, and are excited to join a growing team to Get Stuff Done and save lives!