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Machine Learning Engineering Manager - Core Ads Ranking

Lead the Core Ads Ranking team at Reddit to shape foundational modeling and deep user understanding.

Location
Remote - United States
Compensation
$230k–$322k/yr
Level
lead
Type
full time · Remote

Posted by employer 1 week ago

First seen on Joblaze 6 days ago

Last verified on the company career page 7 hours ago

Skills & Technologies

PyTorch TensorFlow Flexible on stack

What you'll build

  • Define and execute a roadmap for foundational model and user understanding
  • Partner with vertical and horizontal teams to align on strategy
  • Oversee the model development lifecycle from ideation to deployment
  • Recruit, mentor, and retain top ML talent

Must have

  • 1+ years of management experience leading ML-focused teams
  • 6+ years of experience building and scaling machine learning models
  • 4+ years of hands-on experience with TensorFlow or PyTorch
  • End-to-End ML Lifecycle Experience

Nice to have

  • Experience working with foundational models
  • Experience with Ads

Role intensity

10% coding — mostly leadership/strategy

Requirements

Experience
6+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Flexible Vacation Mental Health & Coaching Benefits Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Machine Learning Engineering Manager for Core Ads Ranking at Reddit is responsible for setting the technical vision and strategy for foundational models and user understanding, while overseeing the entire model development lifecycle. This role requires expertise in machine learning, particularly with TensorFlow or PyTorch, and a strong background in building and scaling models. It is well-suited for a leader with management experience and a collaborative approach, capable of engaging with both technical teams and cross-functional partners. The position is part of a team focused on advancing user representation and improving ad performance through innovative machine learning techniques.

Joblaze insights

  • Listed 6 days ago — first seen on Joblaze October 28, 2026. Last confirmed on Reddit's careers page November 3, 2026.
  • Salary band is above the typical range for AI/ML roles (median ~$190,000).
  • Starts above 71% of 49 comparable lead ai/ml roles in United States we track (median $194,600 across 30 companies).
  • PyTorch appears in 3.5% of 86 comparable lead ai/ml roles in United States; TensorFlow appears in 1.2% of 86 comparable lead ai/ml roles in United States.

Quick facts

Is the Machine Learning Engineering Manager - Core Ads Ranking role remote?
Yes — Reddit lists this as a fully remote position.
What's the salary range?
Reddit lists $230,000–$322,000 for this role.
How much experience is required?
At least 6 years of relevant experience for this Machine Learning Engineering Manager - Core Ads Ranking role.
What's the tech stack?
Joblaze extracted these technologies from the posting: PyTorch, TensorFlow.
What seniority level is this role?
Reddit targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Machine Learning Engineering Manager - Core Ads Ranking role at Reddit.

From the original posting

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.

#LI-AS1

Pay Transparency:

$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.

Standard company text repeated across Reddit's postings is omitted here.

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