Pay
Higher than most similar jobs
$200K–$265K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Engineering Manager, Machine Learning, Ranking
Santa Monica, CA
Actively hiring, first seen by us today- Pay
$200,000–265,000/year · BaseAnnual period assumed — pay source
Employer-matched 401(k) plan The US base salary range for this full-time position is $200,000 - $265,000. 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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll bring
All qualificationsCore experience
- 6+ years of experience in a fast-paced software development environment at scale
- Demonstrated ability to build reproducible ML pipelines: including experiment tracking, data and model versioning, and environment management to ensure consistent, reliable results across runs and deployments.
- Experience working on a B2C or B2B Product
- 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.
- Ability to assess technical value, speak the language of ML engineers, and evaluate if AI is being used effectively in day-to-day work.
Preferred experience
- 3+ years of engineering management experience
- Demonstrated experience innovating novel approaches and solutions to ambiguous problems
Qualification wording
6+ years of experience in a fast-paced software development environment at scale
Demonstrated ability to build reproducible ML pipelines: including experiment tracking, data and model versioning, and environment management to ensure consistent, reliable results across runs and deployments.
Experience working on a B2C or B2B Product
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.
Ability to assess technical value, speak the language of ML engineers, and evaluate if AI is being used effectively in day-to-day work.
3+ years of engineering management experience
Demonstrated experience innovating novel approaches and solutions to ambiguous problems
Education & alternatives
Preferred Qualifications: - BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field - 3+ years of engineering management experience
About Ziprecruiter
To actively connect people to their next great opportunity.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 54.
From 7,946 similar postings that came down. Coming down is not always a hire.
Ziprecruiter is hiring
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- Python instead of R - Java/Scala - Applied experience with Embeddings and/or vectors (the focus is on applying proven techniques, using established tools, frameworks, and models) to solve real business problems efficiently.
- ML frameworks (TensorFlow, PyTorch, or scikit-learn) - Python instead of R - Java/Scala
- Strong CS fundamentals (data structures, algorithms) and coding skills. - ML frameworks (TensorFlow, PyTorch, or scikit-learn) - Python instead of R
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Ziprecruiter posted this job before?
Yes. We’ve followed one other Engineering Manager, Machine Learning, Ranking job there since November 2026. It is still up.
About Ziprecruiter
- People
- About 923 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as ZIP.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.)
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.
- Ability to assess technical value, speak the language of ML engineers, and evaluate if AI is being used effectively in day-to-day work.
- Strong communication skills to collaborate effectively with leadership, product, and data science teams.
- Deep experience with ML algorithms, techniques, and best practices.
- Strong CS fundamentals (data structures, algorithms) and coding skills.
- ML frameworks (TensorFlow, PyTorch, or scikit-learn)
- Python instead of R
- Java/Scala
- Applied experience with Embeddings and/or vectors (the focus is on applying proven techniques, using established tools, frameworks, and models) to solve real business problems efficiently.
- Demonstrated ability to build reproducible ML pipelines: including experiment tracking, data and model versioning, and environment management to ensure consistent, reliable results across runs and deployments.
- Have worked through multiple versions of the same product
- Experience working on a B2C or B2B Product
Preferred Qualifications:
- BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field
- 3+ years of engineering management experience
- 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
The US base salary range for this full-time position is $200,000 - $265,000. 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.
#LI-Remote
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Employer-matched 401(k) plan The US base salary range for this full-time position is $200,000 - $265,000. 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.
- Location & working pattern
Santa Monica, CA
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:
More source context
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. #LI-Remote 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.