What is the salary for this role?

Reddit has not stated compensation in the listing. Check the original posting or ask during the application process.

Is the Machine Learning Engineering Manager - Core Ads Ranking position remote, hybrid or onsite?

The listing marks this role as remote, with Remote - United States as the location.

What is the application deadline?

Reddit has not listed a fixed deadline, so apply early in case the opening is filled.

How do I apply for the Machine Learning Engineering Manager - Core Ads Ranking role?

Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.

Greenhouse · Posted 26 Oct 2026

contract

Machine Learning Engineering Manager - Core Ads Ranking

Reddit · Remote - United States

Reddit is a large online community platform that hosts thousands of user‑generated forums and serves millions of daily active visitors. The Core Ads Ranking team focuses on advancing user representation, graph learning, and sequence modeling to improve how ads are ranked and served across the site. As a Machine Learning Engineering Manager, you would define the technical vision for foundational models, create and execute a roadmap that balances long‑term research with short‑term deliverables, and oversee the end‑to‑end development of large‑scale ML systems from idea through production. The role requires close collaboration with product, signal, and infrastructure groups, as well as downstream teams such as Retrieval, Shopping, and Click Prediction. You would lead a team of ML engineers, handling hiring, mentorship, and performance standards while ensuring model reliability, calibration, and robustness. The position suits candidates with at least a year of experience managing ML‑focused teams, six or more years building and scaling machine‑learning models, and strong hands‑on expertise in TensorFlow or PyTorch, particularly with large foundational or user‑understanding models.

machine learning engineering managerads rankingfoundational modelstensorflowpytorchmodel deploymentteam leadershipuser modelingremote

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Team The Core Ads Ranking team advances user representation and graph learning, improves sequence modeling across ads verticals, and builds robust pipelines and state‑of‑the‑art architectures for foundational models. The team also leads core initiatives in knowledge distillation, model calibration, and heuristic improvement. This role offers a unique opportunity to shape and scale Reddit’s foundational modeling and deep user‑understanding roadmap, while multiplying impact through close collaboration with downstream teams including Retrieval, Shopping, Click Prediction, Video View‑Through Prediction, Conversion Prediction, and App Ads Modeling. This position is ideal for a leader with deep machine learning expertise, strong strategic vision, and a collaborative mindset capable of engaging effectively with both technical and cross‑functional partners. Responsibilities: Set Technical Vision and Strategy: Define and execute a roadmap for foundational model and user understanding, balancing high-ambuiguity long-term investments with measurable milestones. Collaborate Cross-Functionally: Partner with vertical customer teams, horizontal signal teams, and infrastructure/platform teams to align on direction, strategy, priorities, and constraints. Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance, reliability, and robustness. Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent while fostering a culture of growth, collaboration, and technical excellence. Candidate Profile: 1+ years of management experience leading ML-focused teams 6+ years of experience building and scaling machine learning models, and working with state of the art machine learning models 4+ years of hands-on experience with TensorFlow or PyTorch End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models Experience working with foundational models, user or content understanding. Experience with Ads is a plus. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit

Role	Machine Learning Engineering Manager - Core Ads Ranking
Company	Reddit
Location	Remote - United States
Type	contract
Compensation	Not disclosed
Posted	2026-10-26
Deadline	Rolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

1ApplicationSubmit your resume through the apply link.
2ScreeningRecruiter reviews your background against the role.
3AssessmentA technical test, assignment, or coding round, depending on the role.
4Interview(s)One or more rounds with the hiring team.
5OfferOffer letter with compensation and start date.

Before you apply

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