ML Tech Lead

About Evvy

At Evvy, we believe the female body shouldn’t be a medical mystery.

We are a precision women’s health company leveraging the vaginal microbiome to improve outcomes across a woman's lifespan. Backed by $30M+ from leading investors, we serve over 100,000 patients and 2,000 providers nationwide with our validated Vaginal Microbiome Test and AI‑powered personalized care platform.

Through this work, we have built the world’s largest dataset on the vaginal microbiome — a proprietary foundation that will drive breakthroughs in infertility, preterm birth, gynecological cancers, and beyond.

Why join now?

Evvy is a generational opportunity in women's health — and we're at the inflection point.

• We’ve built a dataset no one has. Evvy has generated the world’s largest vaginal microbiome dataset from 100,000+ patients, uncovering novel biological markers underlying women’s health conditions that collectively cost the healthcare system $180B+ annually.

• Validated, AI‑first platform. We’ve built a comprehensive testing and care platform that unlocks personalized treatment pathways for each patient. Our work is supported by research published in major peer‑reviewed journals and presented at major clinical conferences (including ACOG, ASRM, IDSOG, and more).

• Proven traction, massive opportunity. We serve 100,000+ patients and 2,000 providers nationwide, with rapidly growing revenue and an expanding suite of diagnostics and treatments to improve outcomes across condition areas. We've only scratched the surface.

• Top tier team, investors, and partners. Our world‑class team is backed by industry leading investors, including General Catalyst, Left Lane Capital, US Fertility, and Labcorp.

We're looking for high‑horsepower, mission‑driven people who find it unacceptable that the female body is still a medical mystery — and want to help change that.

We’re looking for an experienced ML Tech Lead to help build the next generation of Evvy’s diagnostic and prognostic products. This person will lead the small but growing ML team within R&D responsible for turning Evvy’s unique microbiome dataset into models that can meaningfully improve how women’s health conditions are understood, predicted, and treated.

Reporting to the Co‑founder & CSO, you’ll be the operational and technical lead for this function — helping a team of talented scientists move from ambitious research questions to validated, product‑ready models.

This is a hands‑on leadership role for someone energized by the opportunity to build an ML function at the center of a category‑defining women’s health company. You’ll stay close enough to the science and modeling work to ask the right questions, challenge assumptions, and ensure the team is building models that are reliable, clinically meaningful, and ready to become part of Evvy’s products.

You’ll also bring structure to complex scientific work: setting realistic yet ambitious timelines, sequence priorities, communicate tradeoffs, and move with both speed and rigor.

Evvy is a primarily in‑person team based in NYC. We strongly prefer NYC‑based candidates, but we’re open to remote for an exceptional fit.

• Set and hold the technical quality bar across the team's work. Review methods, models, and code deeply enough to catch validation gaps, design issues, or assumptions that won’t survive contact with real‑world data.

• Partner with the team to build credible timelines and roadmaps. Help scientists estimate timelines, plan dependencies, and surface risk early so leadership can make real decisions on tradeoffs.

• Co‑own the ML team's roadmap with the Co‑founder & CSO.

• Manage the day‑to‑day and grow Evvy’s ML team. Run 1:1s, performance, hiring, and the day‑to‑day operating cadence.

• Be the translator between the ML team and the rest of the company. Make sure clinical, product, engineering, and leadership all have the right picture of what the team is doing, what's coming, and where the risks are.

• Partner closely with product and engineering to take models from prototype to shipped feature. Hold the line on validation, performance monitoring, and the documentation engineering needs to deploy.

• Help…