Scan your resume against ATS criteria for this Engineering Manager, Machine Learning role at ZipRecruiter.
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.)
To actively connect people to their next great opportunity.
ZipRecruiter is a leading 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.
Jobs change lives - ask any 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.
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
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
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
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.
medical, financial, and other benefits.
How to apply for Engineering Manager, Machine Learning at ZipRecruiter?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is $190,000-$240,000 per annum.
What experience is required?
6+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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