Machine Learning Engineering Manager - Core Ads Ranking

Description

The company runs a large online community platform where users share, vote on and discuss topics they care about, with over 100,000 active communities and about 130 million daily active unique visitors.

The Core Ads Ranking team works on user representation and graph learning, sequence modeling across ads verticals, foundational model pipelines and state-of-the-art architectures. It also leads work on knowledge distillation, model calibration and heuristic improvement.

This role shapes and scales the team's foundational modeling and deep user understanding roadmap. You will work closely with downstream teams: Retrieval, Shopping, Click Prediction, Video View-Through Prediction, Conversion Prediction and App Ads Modeling. The role suits a leader with deep ML expertise, a clear strategic view and a collaborative approach with both technical and cross-functional partners.

Responsibilities

• Define and carry out a roadmap for foundational models and user understanding, balancing long-term bets that carry high ambiguity with measurable milestones.
• Work with vertical customer teams, horizontal signal teams and infrastructure and platform teams to agree on direction, strategy, priorities and constraints.
• Oversee models from ideation through deployment, keeping ML performance, reliability and robustness at a high standard.
• Recruit, mentor and retain strong ML engineers, building a team that grows, works together and values technical excellence.

Requirements

• At least 1 year of experience managing ML-focused teams.
• At least 6 years of experience building and scaling machine learning models, including work with state-of-the-art models.
• At least 4 years of hands-on experience with TensorFlow or PyTorch.
• Proven experience training, evaluating and deploying large-scale models across the full ML lifecycle.
• Experience with foundational models or user and content understanding.
• Experience with ads is a plus.

Conditions

This posting may be filled at more than one career level.

You will receive base salary plus eligibility for restricted stock units (equity). Depending on the position, you may also be eligible for commission.

Base pay ranges are shared for all US-based postings, regardless of state. Ranges are set by function, level and country, benchmarked against similar growth-stage companies. Final offers depend on factors such as skills, depth of experience and relevant licenses or credentials, and may fall outside the range shown.

The base salary range for this position is $230,000 - $322,000 USD.

In select roles and locations, interviews may be recorded, transcribed and summarized by AI. You can opt out before any scheduled interview.

The company is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. If you need an accommodation during interviews, tell your recruiter.

Benefits

• Medical, dental and vision insurance, plus income replacement programs (US-based employees).
• 401(k) with employer match.
• Global benefit programs covering workspace, professional development and caregiving support.
• Family planning support and gender-affirming care.
• Mental health resources and coaching.
• Flexible vacation and paid volunteer time off.
• Paid parental leave.