Director of AI/ML

Bayesian Health; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Bayesian Health seeks a Director of AI/ML to set the technical vision and lead a growing team of data scientists and ML engineers. You will partner with Engineering to architect scalable data warehousing and ML infrastructure that accelerates model development and reliable production deployment.

In a scrappy, early-stage environment, you will prototype models, evaluate system performance, and translate clinical needs into data-driven roadmaps while shipping breakthrough healthcare products that

Qualifications

• Leadership experience building and guiding AI/ML teams.
• Experience designing scalable ML infrastructure and data warehouses.
• Proven track record prototyping and evaluating ML models.
• Ability to translate clinical needs into ML opportunities and communicate results.

Responsibilities

• Team Leadership: Build, mentor, and scale a world-class AI/ML team, establishing standards and ownership.
• Technical Vision Infrastructure: Define and execute the ML roadmap with data warehousing, infrastructure, and data pipelines to enable rapid prototyping and deployment.
• Hands-On Modeling Evaluation: Contribute to modeling, evaluation, and experiments to deliver high-quality ML systems with clinical impact.
• Cross-Functional Partnership: Collaborate with Engineering, Product, and Clinical teams to translate workflows into ML opportunities and communicate model performance.

Skills

Team Leadership

ML Infrastructure

Model Evaluation

Cross-Functional Collaboration

Job description

Director of AI/ML

In Brief

We're an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.

Who We Are

Bayesian Health's mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We're a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.

We're funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association's venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved.

What you'll do

As Director of AI/ML, you'll set the technical vision and strategy for Bayesian Health's machine learning organization while building and leading a high-performing team of data scientists and ML engineers. You'll partner deeply with Engineering to architect scalable data warehousing and ML infrastructure that enables rapid model development and reliable production deployment. At our stage, you'll also roll up your sleeves on critical IC work: prototyping models, evaluating system performance, and debugging production issues. This role requires thriving in scrappy, early-stage environments where you're building the plane while flying it, translating clinical needs into technical roadmaps, and getting your hands dirty to ship breakthrough healthcare products.

Responsibilities

• Team Leadership: Build, mentor, and scale a world-class AI/ML team, establishing technical standards, career development frameworks, and a culture of excellence and ownership.
• Technical Vision Infrastructure: 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.
• Hands-On Modeling Evaluation: 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.
• Cross-Functional Partnership: Collaborate with Engineering, Product, and Clinical to translate complex clinical workflows into ML opportunities, and communicate model performance and impact to technica