Senior Machine Learning Engineer
Function Health · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Build ML systems for analyzing health data.
- Work with multimodal and longitudinal data.
- Own end-to-end ML workflows and deployment.
- Collaborate with cross-functional experts.
- Focus on responsible AI in healthcare.
About the role
About Function Health
Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are redefining how individuals understand, measure, and improve their health by moving beyond reactive care and enabling proactive, data-driven insight into human biology. Function has been recognized as one of Fast Company’s Most Innovative Companies of 2024, and is venture-backed by Andreessen Horowitz (a16z). Hundreds of thousands of members have joined Function to take control of their health.
Through advanced diagnostics, deep biomarker testing, longitudinal data, and AI-enabled insights, Function equips members with actionable intelligence to take control of both the quality and length of their lives.
Function recently announced a $298M Series B and is entering its next chapter of growth. As we scale, the quality and durability of our People systems, data, and insights will directly shape our ability to attract, retain, and support exceptional talent.
About the Medical Intelligence Lab (MIL)
Function’s newly launched Medical Intelligence Lab (MIL) is charged with building the operating system that converts individual and population health data into health guidance. In essence, MIL is building a GPS for health — a system which understands where you have been, has mapped the health landscape around you, and steers you where you need to go to avoid disease and arrive at healthy longevity. MIL brings together engineers, scientists, physicians, and regulatory and operations experts to build medical world models, prediction models, and guidance models that combine the best of human and machine intelligence.
Your Mission as a Senior Machine Learning Engineer
As a Machine Learning Engineer in MIL, you will build machine learning (ML) systems that analyze large-scale, multi-modal, longitudinal health data to generate actionable insights for Function users. These ML systems will identify connections between disparate types of data and will analyze the trajectory of that data over time to provide early warning of disease.
You will collaborate closely with data engineers, data scientists, and clinical domain experts to ensure that ML systems are reliable, interpretable, and suitable for use in regulated settings involving protected health information.
What You’ll Do
- Develop, train, evaluate, and deploy machine learning models using multimodal healthcare data (e.g., blood biomarkers, images, medical records).
- Partner with data scientists and domain experts to translate clinically informed cohorts, labels, and features into ML-ready representations.
- Build and own end-to-end ML workflows, including literature review/prototyping, feature generation, training/validation, inference, experiment tracking and reproducibility, deployment, and monitoring/drift detection.
- Design modeling approaches for longitudinal healthcare data, capturing temporal patterns and handling evolving data distributions.
- Define evaluation frameworks that prioritize robustness, calibration, interpretability, and stability across cohorts and time.
- Contribute to best practices around responsible ML in healthcare, including documentation, auditability, and collaboration with clinical stakeholders.
- Support experimentation while maintaining production-quality engineering standards.
Who You Are
You enjoy working on complex, real-world problems where data is messy, signals are subtle, and correctness matters. You care about model behavior in production and value interpretability, reliability, and maintainability over quick wins.
You’re comfortable collaborating cross-functionally and communicating clearly about tradeoffs, limitations, and failure modes.
Key Requirements
- 3+ years of experience building and deploying machine learning systems in production.
- Strong proficiency in Python and ML frameworks, such as PyTorch, TensorFlow, and scikit-learn (PyTorch is preferred).
- Experience with the full model lifecycle: training, evaluation, deployment, and monitoring.
- Familiarity with multimodal and/or longitudinal/time-series data (tabular biomarkers, imaging-derived features, events over time, etc.).
- Solid understanding of feature engineering, model validation, error analysis, and basic statistical thinking.
- Ability to collaborate effectively with data engineering and data scientists in shared data environments.
Nice-to-have
- Experience working with healthcare, biomedical, or other regulated data.
- Familiarity combining multiple different modalities (e.g., tabular + imaging features, signals + clinical records).
- Experience with self-supervised learning and the development of large-scale foundation models.
- Experience deploying models in cloud environments (AWS, Databricks, etc.).
- Exposure to model interpretability techniques and monitoring strategies (drift, performance degradation, data quality checks).
- Experience working in PHI-sensitive and compliance-driven environments.
What’s in it for you?
As a Machine Learning Engineer at Function Health, you will be part of a tight-knit team working to build the future of health.
You’ll work on foundational ML systems that enable the next generation of health insights — with an emphasis on responsibility, rigor, and long-term impact.
You’ll Also Have Access To
- Stock options
- Comprehensive health, dental, and vision plans for you and your family
- Wellness and commuter benefits
- Competitive vacation policy
- A culture that emphasizes learning, collaboration, and thoughtful engineering
- Remote work flexibility
Why You'll Love Working With Us
We value our team at Function and offer a competitive salary and benefits package, flexible working hours, and a dynamic work environment where creativity and innovation are encouraged. If you are a highly motivated and experienced individual who is passionate about using technology to improve people’s lives, we would love to hear from you.
At Function, we celebrate diversity and are committed to building a diverse and inclusive workforce. As an equal opportunity employer, we do not discriminate on the basis of race, color, gender identity, ancestry, religion, age, sexual orientation, national origin, disability, marital status, Veteran status, or any other occupationally irrelevant criteria.
Join the Function Health team and become a part of our mission to build a healthier future for all. Discover more about us and how we're changing the face of healthcare at Function Health.
Important Notice
Legitimate communication from the Function Health team will always come from an email address ending in @functionhealth.com. Function Health will never request personal information such as banking details or payment during the hiring process. Please be cautious of communications or job offers that come from other email domains, instant messaging platforms, or unsolicited calls. If you ever have doubts about the legitimacy of a communication, please reach out to us directly at talent@functionhealth.com.
Key skills/competency
- Machine Learning
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- Model Lifecycle Management
- Multimodal Data Analysis
- Longitudinal Data Analysis
- Healthcare Data
- Production ML Systems
Skills & topics
- Machine Learning
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- MLOps
- Data Science
- Healthcare AI
- Biotechnology
- Senior Engineer
How to get hired
- Tailor your resume: Highlight experience with Python, ML frameworks (PyTorch, TensorFlow), and the full model lifecycle, emphasizing production deployment and multimodal/longitudinal data analysis.
- Showcase healthcare experience: If applicable, detail your work with regulated or PHI-sensitive data, and any experience with interpretability or monitoring techniques.
- Prepare for technical questions: Be ready to discuss your experience with feature engineering, model validation, error analysis, and statistical thinking, as well as specific ML projects.
- Demonstrate collaboration: Be prepared to discuss how you've worked with data engineers and data scientists, and how you communicate complex technical concepts and tradeoffs.
- Understand their mission: Research Function Health's work in AI for longevity and be ready to articulate your passion for applying ML to improve health outcomes.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the core responsibilities of a Senior Machine Learning Engineer at Function Health?
- As a Senior Machine Learning Engineer at Function Health, you will be instrumental in building ML systems that analyze large-scale, multi-modal, longitudinal health data to generate actionable insights for users. This involves developing, training, evaluating, and deploying models, owning end-to-end ML workflows, and ensuring reliability, interpretability, and suitability for regulated healthcare settings.
- What technical skills are essential for this Senior Machine Learning Engineer role at Function Health?
- Key technical skills include strong proficiency in Python and ML frameworks like PyTorch (preferred), TensorFlow, and scikit-learn. Experience with the full model lifecycle (training, evaluation, deployment, monitoring), familiarity with multimodal and/or longitudinal data, and solid understanding of feature engineering and model validation are crucial.
- Does Function Health require specific experience with healthcare data for this role?
- While experience working with healthcare, biomedical, or other regulated data is a 'nice-to-have,' it's not a strict requirement. However, understanding how to handle PHI-sensitive data and compliance-driven environments is beneficial, especially given the nature of Function Health's mission.
- What is the work arrangement for the Senior Machine Learning Engineer position at Function Health?
- Function Health offers remote work flexibility for this role. However, team meetings are scheduled between 8 and 11 am EST, and attendance is required, so candidates should be available during these times.
- What are the opportunities for growth and development at Function Health?
- Function Health emphasizes learning, collaboration, and thoughtful engineering. As part of a tight-knit team working on foundational ML systems for the future of health, you'll have opportunities to contribute to impactful projects and be part of a company experiencing significant growth, backed by top investors.
- How does Function Health ensure model reliability and interpretability in a regulated environment?
- Function Health prioritizes reliability, interpretability, and maintainability. The role involves collaborating closely with clinical domain experts, defining evaluation frameworks that focus on these aspects, and contributing to best practices around responsible ML in healthcare, including documentation and auditability.