Senior Machine Learning Engineer US - Remote • Canada - Remote Medical Intelligence Lab Remote Full-time This team spans many time zones. Most team meetings are between 8 and 11 am EST. Attendance is required for this role.

Our Mission

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. 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 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

As a Machine Learning Engineer, you will:

• 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 productionand value interpretability , reliability ,and maintainability over quick wins . You’re comfortable collaborating cross-functionallyand communicating clearly about tradeoffs , limitations ,and failure modes .

Key Requirements

-3+ years of experience buildingand deploying machine learning systemsin production . -Strong proficiencyin Pythonand ML frameworks suchas PyTorch(preferred) , TensorFlow , scikit-learn . -Experiencewiththe full model lifecycle:training , evaluation , deployment , monitoring . -Familiaritywithmultimodaland/orlongitudinal/time-seriesdata(tabular biomarkers , imaging-derived features,eventsover time,etc.) . -Solid understandingoffeature engineering , model validation , error analysis , basic statistical thinking . -Abilitytocollaborate effectivelywithdata engineeringanddata scientistsin shareddata environments.

Nice-to-have

-Experience workingwithhealthcare biomedicalorotherregulateddata. -Familiarity combiningmultipledifferentmodalities(e.g.,tabular + imaging features,signals + clinical records). -Experiencewithself-supervisedlearningandthe developmentoflarge-scale foundationmodels. -Experience deployingmodelsin cloudenvironments(AWS Databricks etc.). -Exposure tomodel interpretability techniquesandmonitoring strategies(drift performance degradation,data quality checks). -Experience workingin PHI-sensitiveandcompliance-driven environments.

What’s in it for you?

As a Machine Learning Engineerat Function Health,you will be partoftight-knit team workingto buildthe futureofhealth.You’ll workonfoundational ML systemsthat enable thenext generationofhealth insights —with an emphasis on responsibility rigor,and long-term impact.You’ll also have access to:

• Stock options
• Comprehensive health dental,and vision plansfor youandyour family
• Wellnessand commuter benefits
• Competitive vacation policy
• A culturethat emphasizes learning collaboration,and thoughtful engineering
• Remote work flexibility

Why You'll Love Working With Us:

We value our team at Functionandoff er competitive salaryand benefits package flexible working hours,and dynamic work environment where creativityand innovation are encouraged.If you are highly motivatedandexpe rienced individual whois passionate about using technologyto improve people’s lives we would love to hear from you.At Function we celebrate diversityandar e committedto building diverseandinclusive workforce.As equal opportunity employer wedonot discriminate on basisof 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 teamand become partof our missionto build healthier futureforall.Discover moreabout usand how we're changing faceof healthcare atFunction Health. *Important Notice:* Legitimate communication fromthe Function Health teamwill always come from an email address ending in @functionhealth.com.Function Healthwill never request personal information suchas banking details or payment during hiring process.Please becautiousof communicationsorjob offers thatcome from other email domains instant messaging platforms or unsolicited calls.Ifyou ever have doubts about legitimacy communication please reach out directly at talent@functionhealth.com.