Engineering Manager, Machine Learning, Ranking

ZipRecruiter; United States; Hybride; USD 200 000 - 265 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Exceptional benefits package

Flexible Vacation & Paid Time Off

Employer-matched 401(k) plan

Résumé du poste

ZipRecruiter, Inc. is seeking an Engineering Manager for the Ranking team in the Marketplace org. You will lead a senior group of data scientists and ML engineers to drive product value, ownership, and tech-health.

You’ll collaborate with product and decision science to shape the roadmap and establish success criteria for marketplace tests. You will design and deploy ML pipelines, monitor model performance, and ensure reproducible experiments across deployments while supporting a strong culture

Qualifications

• 6+ years in fast-paced software development at scale.
• 2+ years as a software engineering leader.
• ML manager or Senior/Staff Data Scientist transitioning to management.
• Ability to assess ML value and speak ML language.
• Strong communication with leadership, product, and data science.
• Deep experience with ML algorithms and best practices.
• Strong CS fundamentals and coding skills.
• ML frameworks: TensorFlow, PyTorch, scikit-learn.
• Python (not R) and Java/Scala.
• Experience with embeddings/vector tech to solve business problems.
• Ability to build reproducible ML pipelines with experiment tracking, data/model versioning.

Responsabilités

• Lead and support a senior team of data scientists and MLEs.
• Partner with product management and Decision Science to shape roadmap.
• Evaluate technical work and provide a strong ML voice in discussions.
• Design, build, and deploy ML pipelines for modeling behavior.
• Monitor model performance for speed and accuracy.

Connaissances

ML knowledge

Leadership

Communication

CS fundamentals

Python

Java/Scala

Embeddings experience

Experiment tracking

Formation

BS/MS/PhD in Mathematics, CS, Physics

Outils

TensorFlow

PyTorch

scikit-learn

Python

Experiment tracking tools

Description du poste

Engineering Manager, Machine Learning, Ranking

Remote

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.)

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.

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in ZipRecruiter's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.