H

Machine Learning Engineering Manager

Harnham United State
Remote
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AI Summary

Lead a team of ML Engineers and Applied Scientists to build and deploy scalable machine learning systems. Drive innovation while balancing delivery goals and stakeholder collaboration. Requires 5+ years in ML/Data Science/ML-focused Software Engineering and 3+ years in people management.

Key Highlights
Fully remote role with a 4-day work week (no Fridays)
Up to $245K base salary + bonus + equity
U.S. Citizen or Green Card required
Key Responsibilities
Lead and mentor a high-performing team of ML Engineers and Applied Scientists
Drive the development of production machine learning systems and experimentation frameworks
Balance near-term delivery goals with longer-term innovation initiatives
Partner with technical and business stakeholders to turn data-driven insights into impact
Stay close to the technology as a player-coach while growing and developing the team
Technical Skills Required
Machine Learning Data Science Software Engineering
Benefits & Perks
Up to $245K base salary
Bonus
Equity
4-day work week (no Fridays)

Job Description


ML Engineering Manager

Fully Remote (U.S.) | 4-Day Work Week (No Fridays)

Up to $245K Base + Bonus + Equity

U.S. Citizen or Green Card Required


We're partnering with an innovative, AI-driven company seeking a hands-on ML Engineering Manager to lead a team focused on building and deploying machine learning models at scale.


What You'll Do:

  • Lead and mentor a high-performing team of ML Engineers and Applied Scientists
  • Drive the development of production machine learning systems and experimentation frameworks
  • Balance near-term delivery goals with longer-term innovation initiatives
  • Partner with technical and business stakeholders to turn data-driven insights into impact
  • Stay close to the technology as a true player-coach while growing and developing your team

What We're Looking For:

  • 5+ years of ML, Data Science, or ML-focused Software Engineering experience
  • 3+ years of people management experience
  • Strong background in machine learning, experimentation, and production systems
  • Proven ability to lead teams through ambiguity and complex technical challenges
  • Excellent communication and stakeholder management skills


This is a rare opportunity to join a highly technical organization solving complex problems with AI while enjoying a true work-life balance through a four-day work week.


Reach out for more details. Confidential search.


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