ML Engineering Manager

Location: United States, remote

Salary: $200,000–$350,000 annually for comparable management-level ML engineering roles.

Company

Specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

• Build, mentor, and scale an ML engineering team, including hiring, career development, and fostering technical ownership.
• Own the end-to-end ML platform roadmap, quarterly planning, prioritization, and trade-off management.
• Lead the design and delivery of production ML systems, including model architecture, training pipelines, inference infrastructure, and monitoring.
• Partner with product, data science, and infrastructure teams to translate business requirements into technical solutions and delivery plans.
• Improve quality and velocity through code reviews, testing standards, documentation, and continuous improvement of the ML development lifecycle.
• Reduce technical debt, ML pipeline bottlenecks, and infrastructure or tooling gaps while representing ML engineering in cross-functional planning.

Requirements

• 5+ years of hands-on ML engineering experience designing and shipping production systems.
• 2+ years of people management experience covering hiring, feedback, career development, and psychological safety.
• Deep fluency in Python and MLOps fundamentals, including experiment tracking, CI/CD, and containerization.
• Experience with model serving, retraining pipelines, monitoring, and A/B testing.
• Ability to explain technical decisions to non-technical stakeholders and collaborate across engineering, product, and data science.
• Track record of defining scope, delivering measurable outcomes, and unblocking teams.

Culture & Benefits

• Permanent remote work arrangement for candidates in the United States.
• Future-opportunity pipeline rather than a single currently open role.
• Focus on ownership, technical rigor, measurable outcomes, and cross-functional alignment.