人工智能/机器学习总监
Director of AI/ML
首席人工智能/机器学习总监
简介
- 我们是一家早期初创公司，致力于通过为医生、护士和护理团队提供实时数据，使医疗保健更加主动，以挽救生命。
- 以亲力亲为、务实的方式领导 Bayesian Health 的人工智能/机器学习团队：制定技术愿景，在关键建模工作中亲自上阵，并打造一支世界级的团队，推出能够在全国医院挽救生命的突破性机器学习产品。
我们是谁
Bayesian Health 的使命是通过为临床医生提供他们需要的见解，帮助其在诊疗过程中为正确的患者做出正确的决策，从而改善患者结果。我们是一支多元化的团队，包括临床医生、工程师、机器学习专家、产品设计师和绩效改进领导者，致力于通过解锁数据的力量，实现更智能、更个性化的医疗交付。
我们获得了顶级科技和生物科技投资者的支持：Andreessen Horowitz、美国医学协会风险投资部门、Catalio Partners 和 LifeForce Capital。我们的公司获得过许多奖项；最近的荣誉包括：福布斯 AI 50 强、世界经济论坛科技先锋、时代最佳发明、生物技术 AI 年度公司。了解更多关于我们在《自然医学》上的最新发表文章，该文章将我们的产品与挽救的生命联系起来。
你将做什么
作为人工智能/机器学习首席，你将制定 Bayesian Health 机器学习团队的技术愿景和战略，同时建立和领导一支高绩效的数据科学家和机器学习工程师团队。你将与工程团队深度合作，构建可扩展的数据仓库和机器学习基础设施，以实现快速模型开发和可靠的生产部署。在我们这个阶段，你还需要亲自参与关键的个体贡献工作：原型建模、评估系统性能和调试生产问题。这个职位需要你在务实、早期的环境中茁壮成长，一边飞行一边建造飞机，将临床需求转化为技术路线图，并亲自动手交付突破性的医疗产品。
职责
- 团队领导：打造、指导和扩大世界级的人工智能/机器学习团队，建立技术标准、职业发展框架和卓越与责任的文化。
- 技术愿景与基础设施：定义并执行机器学习路线图，同时与工程团队紧密合作，构建数据仓库解决方案、机器学习基础设施和数据管道，
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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.
- Lead Bayesian Health's AI/ML organization with a hands-on, scrappy approach: setting technical vision, rolling up your sleeves on critical modeling work, and building a world-class team that ships breakthrough ML products saving lives in hospitals nationwide.
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 technical and non-technical stakeholders including customers and investors.
Minimum qualifications
- 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 qualifications
- 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!
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.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.