Engineering Manager, Machine Learning, Ranking

About the role

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

Our marketplace team builds the specialized products, platforms, and intelligence systems that power our Enterprise customer segment:

- Marketplace Optimization: We use machine-learning and AI techniques to optimize our job marketplace to show jobseekers the right job at the right time, and satisfying the employers who expect results for the job listings they sponsor. Four out of five employers who post a job on ZipRecruiter get a qualified candidate within the first day, and it’s our team’s responsibility to make sure that continues to be true.

Key Focuses:

We are seeking an Engineering Manager to lead our Ranking team within our Marketplace organization. This is a high-priority, high-impact role where you will lead a highly capable, senior team of Data Scientists and Machine Learning Engineers. We're looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team's/tech stack's health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth.

- Lead and support a senior team (Data Scientists, Generalists, and MLEs), driving career development, workload balancing, and growth opportunities.

- Partner closely with Product Management and Decision Science to shape the product roadmap, define metrics, and establish success criteria for marketplace balancing tests.

- Evaluate day-to-day technical work, ensuring effective use of ML and AI, and providing a strong technical voice in cross-functional discussions.

- Design, build, and deploy machine-learning pipelines for modeling jobseeker behavior and job marketplace dynamics.

- Monitor the performance of our models for speed and accuracy.

Minimum Qualifications:

- 6+ years of experience in a fast-paced software development environment at scale

- 2+ years of experience as a software engineering leader

- Proven experience either as an experienced Machine Learning manager or as a Senior/Staff Data Scientist or MLE looking to transition into management.