ML Engineering Manager: Lead Scalable AI & People

ZipRecruiter, Inc.

Northern (KY)

Hybrid

USD 190,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan

Job summary

ZipRecruiter is seeking an Engineering Manager to lead our Machine Learning Engineering team. This role owns the mission, execution, morale, and code quality of a fast-growing ML-focused squad, partnering with product managers to align the roadmap and remove roadblocks.

You’ll coach engineers, foster a culture of ownership and innovation, and push for scalable, high-impact ML solutions. We offer a hybrid work environment with remote options for most US-based positions.

Qualifications

  • 6+ years of experience in a fast-paced software development environment at scale.
  • 2+ years of experience as a software engineering leader.
  • Experience applying, developing, and deploying ML models for significant business impact.

Responsibilities

  • Own the mission, execution, morale, and code quality of your team
  • Partner effectively with product managers to maintain and execute against the product roadmap
  • Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively
  • Actively build community and culture throughout the engineering organization
  • Continually develop, coach, motivate, and improve your team, leading by example
  • Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas

Skills

Leadership
ML models
Software development

Education

BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field

Job description

ZipRecruiter is seeking an Engineering Manager to lead our Machine Learning Engineering team. This role owns the mission, execution, morale, and code quality of a fast-growing ML-focused squad, partnering with product managers to align the roadmap and remove roadblocks.

You’ll coach engineers, foster a culture of ownership and innovation, and push for scalable, high-impact ML solutions. We offer a hybrid work environment with remote options for most US-based positions.

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