Evvy

ML Tech Lead

New York City · Exec

Sponsorship not specifiedDetected 64 days ago

RESTMachine LearningData ScienceCadenceResearchLeadershipCommunicationCollaboration

About the role

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
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
Top tier team, investors, and partners.

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
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

Senior ML or data science leadership in a science-driven product company is the bar

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.

$1K learning and development budget
Health, dental, and vision insurance, plus HSA plans
Paid parental leave
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.
6-9 years of experience in machine learning or data science, including prior experience managing ML or research ICs at a company.

This listing is sourced directly from Evvy's careers page and normalized into a canonical job model.