ML Engineering Manager

• Machine Learning Engineering Manager
• Location: Fully Remote - based anywhere in the U.S.
• Compensation: $200-240k base, depending on location

A leading AI-driven technology company is seeking a Machine Learning Engineering Manager to lead a team developing and scaling production machine learning solutions that directly impact core business outcomes.

This is a player-coach leadership role suited to someone who combines strong technical depth with proven people management experience. You'll lead a team of 4-7 ML engineers and scientists, drive experimentation strategy, and help translate research into production results.

• What You'll Do
• Manage, mentor, and grow a team of 4-7 machine learning professionals.
• Lead performance management, career development, hiring, and team culture initiatives.
• Oversee a portfolio of ML experiments, balancing short-term business objectives with longer-term research opportunities.
• Partner with technical leads and cross-functional stakeholders to prioritize initiatives and validate results.
• Drive end-to-end delivery of machine learning solutions from experimentation through production deployment.
• Communicate outcomes, insights, and priorities to technical and business audiences.

• Required Qualifications
• 5+ years of experience in Machine Learning, Applied Science, or a related quantitative discipline.
• 2-3+ years of people management experience leading technical teams.
• Strong background in machine learning, statistics, and experimentation.
• Experience owning measurable KPIs, performance targets, or business outcomes.
• Excellent communication and stakeholder management skills.
• Hands-on technical leader who remains close to the work and enjoys coaching teams.

• Preferred Qualifications
• PhD or Master's in Computer Science, Statistics, Machine Learning, Mathematics, or a related field.
• Experience in fraud, risk, payments, fintech, or decision science environments.
• Exposure to large-scale production ML systems.

• Tech Stack
• Python, SQL, Spark, large-scale data platforms, experimentation frameworks, and production ML pipelines.

Benefits

• Annual performance bonus
• Unlimited PTO
• 401(k) match
• Comprehensive medical, dental, and vision coverage
• Paid parental leave
• Professional development budget