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.
About the Team:
Jobs change lives - ask any one of our millions of job seekers we serve and you’ll no doubt get a similar answer. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. Our team works on applications at scale, serving millions of job seekers. We’re building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we’re hiring an Engineering Manager to lead our Machine Learning Engineering team.
Our business is complex and 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.
About the Job:
- 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
Minimum 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
Preferred Qualifications:
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field
- 3+ years of applied AI, ML systems, leading MLE teams
- Expertise with recommender systems, personalization, search, ranking, and/or matching
- Demonstrated experience innovating novel approaches and solutions to ambiguous problems
As part of our team you’ll enjoy:
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
#LI-Remote
The US base salary range for this full-time position is $190,000-$240,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Skills Required
- 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
- Expertise with recommender systems, personalization, search, ranking, and/or matching
- BS/MS/PhD in Mathematics, Computer Science, Physics, or related technical field
- 3+ years of applied AI, ML systems experience and leading machine learning engineering teams
- Demonstrated experience innovating novel approaches and solutions to ambiguous problems
ZipRecruiter Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZipRecruiter and has not been reviewed or approved by ZipRecruiter.
-
Healthcare Strength — Comprehensive medical, dental, and vision coverage is described alongside life, disability, and pet insurance options. Mental-health resources, wellness programs, and wellness days further reinforce a broad health-and-wellbeing offering.
-
Retirement Support — A 401(k) with company matching is described as part of the core package. Equity-related programs such as an Employee Stock Purchase Plan and role-dependent RSUs complement retirement-oriented benefits.
-
Leave & Time Off Breadth — Flexible time off is presented as a major component of the overall rewards package. Paid holidays, sick time, and volunteer time are also included, expanding time-off options beyond standard PTO.
ZipRecruiter Insights
What We Do
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 partnerships with the best job boards on the web. We're growing rapidly in pursuit of this mission, and we're always looking for talented people to join our team. Visit ziprecruiter.com/careers to view our open roles.
Why Work With Us
We are committed to nurturing an environment where every person feels welcomed, valued, heard, and respected. We embrace and encourage our employees’ differences, and we consistently review our overall equality—including recruitment and selection, compensation and benefits, promotions, and more—to stay relevant in this space.
Gallery
