ZipRecruiterEngineering Manager, Machine Learning
ZipRecruiter is hiring an Engineering Manager, Machine Learning. It pays $190k-$240k a year and Level rates it ; you can apply on ZipRecruiter.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting allows some remote work.
- Tools and skills the posting cites include machine learning, team management and recommender systems.
- Level classifies it as a lead role.
- Level lists 51 other open roles at ZipRecruiter.
AI in this role
Lead a team of machine learning engineers building scalable models and recommender systems.
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
How we rate this
Engineering Manager, Machine Learning at ZipRecruiter rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where recommender systems was part of your work. What did you do?
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, Team Management, Recommender Systems, Software Development, and Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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