ML Engineering Manager

Harnham; Denver (CO); On-site; USD 200,000 - 245,000; Full time

Job summary

Harnham is seeking a hands-on ML Engineering Manager to lead a team building and deploying ML models at scale. This fully remote U.S. role features a four-day work week and competitive compensation up to $245K base plus bonus and equity.

You will mentor engineers and scientists, drive production ML systems, balance delivery with innovation, and collaborate with stakeholders to turn data insights into impact.

Qualifications

• 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.

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 true player-coach while growing and developing your team.

Skills

ML/AI Leadership

People Management

Production ML Systems

Experimentation Frameworks

Stakeholder Communication

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.

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.

Desired Skills and Experience

• 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