ML Tech Lead

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 recruit, lead technical interviews and onboard new ML scientists as the team scales.

Build the rituals and systems that let a small science team move with the speed and accountability of a much larger one

6–9 years of experience in machine learning or data science, including prior experience managing ML or research ICs at a company. Academic advising alone is not enough

Deep enough technical fluency to review methods, models, and code credibly without doing the building yourself. You can hold the technical quality bar on work you didn't write

A track record of helping technical teams ship on realistic timelines. You know how to translate ambitious science into a credible plan, and you push back on estimates that aren't grounded in reality

Strong cross-functional collaboration with product, clinical, and engineering. You can run a productive conversation across all three without losing anyone in the room

Comfort communicating with non-technical stakeholders. You can take a complicated methodological tradeoff and frame it as a clear product or business decision

Microbiome, healthcare, or diagnostics experience is a significant plus, but not required. Senior ML or data science leadership in a science-driven product company is the bar

High agency, low ego. You move fast, decide with imperfect information, own outcomes fully, and care more about the team being successful than about being the one who built it

Evvy is a primarily in-person team based in New York, NY with a strong culture of collaboration and connection. We work from the office 4 days a week (Wednesdays remote), and we genuinely enjoy spending time together: team dinners, happy hours, and shared wins are part of the rhythm here.

Start with the why. We tie everything back to a user need or company goal. Figure it out. We take initiative, embrace ambiguity, and build from first principles. Create win-wins. We solve problems with patients, partners, and the business in mind. Own it to the end. We close every loop and take pride in the details. Stay eleven steps ahead. We anticipate, plan, and act with foresight and speed.