Machine Learning Engineering Manager - Core Ads Ranking
Company websiteredditinc.com (Reddit, opens in new tab)
Base salary $230K to $322K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (27 min ago) · observed since
About this job
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 is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Source: Reddit on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($230,000) is above 90% of the 10,276 Software Engineering roles nationwide listed on this site; 84 others list the same floor. Their median floor is $161,000; the middle half runs from $140,000 to $191,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingMachine Learning Engineering Manager - Core Ads Ranking$230K to $322K
Staff Machine Learning Engineer, Ads Creative Effectiveness$230K to $322K
Staff Machine Learning Engineer, Retrieval & Targeting$230K to $322K
Staff Machine Learning Engineer, Retrieval$230K to $322K
Staff Machine Learning Engineer, AI Security$230K to $322K
Staff Machine Learning Engineer, Ads Forecasting & Scenarios$230K to $322K
Senior Data Scientist$229,000 to $267,100
Chart as a table
| Role | Published base |
|---|---|
| Machine Learning Engineering Manager - Core Ads Ranking (this listing) | $230K - $322K |
| Staff Machine Learning Engineer, Ads Creative Effectiveness | $230K - $322K |
| Staff Machine Learning Engineer, Retrieval & Targeting | $230K - $322K |
| Staff Machine Learning Engineer, Retrieval | $230K - $322K |
| Staff Machine Learning Engineer, AI Security | $230K - $322K |
| Staff Machine Learning Engineer, Ads Forecasting & Scenarios | $230K - $322K |
| Senior Data Scientist | $229,000 - $267,100 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-26
Where this pay comes from
Location as the employer wrote it: Remote - United States
USD 230,000 – 322,000 · interval unstated · pay_input_range · The base salary range for this position is: · base-labelled (R1: base salary)
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
