Manager, Machine Learning Engineering, Advertiser Experience ML

Snap Inc.

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bellevue, WALos Angeles, CAPalo Alto, CA
Salary
$229,000–$343,000 / yr
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $286k
$165k most similar roles pay here $362k

This role pays more than 92% of similar roles. Most pay $202,800–$254,750 — the shaded band above. At the midpoint, this role pays about $286k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 88 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 78 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Manager, Machine Learning Engineering, Advertiser Experience ML

Manager, Machine Learning Engineering, Advertiser Experience ML joins the Advertiser Experience ML team, a horizontal unit within the Ads Platform. This role involves leading a team of machine learning and software engineers to build models, agentic systems, and data pipelines that power ad moderation, fraud detection, recommendations, and creative intelligence. The manager establishes technical strategy, manages roadmaps, and oversees high-level design decisions while ensuring model quality and reliability. Key responsibilities include scaling LLM-powered workflows and managing cross-functional partnerships to deliver measurable outcomes in advertiser understanding and platform safety. Candidates should possess expertise in machine learning for classification and content understanding, experience with large language models, and proficiency in tools like PyTorch or TensorFlow. The role addresses critical business problems including fraud detection, risk management, and automated moderation within a complex advertising ecosystem.

What you'll do

  • Lead a team of machine learning and software engineers building models, agentic systems, and data pipelines.
  • Define the technical strategy and manage the roadmap for products involving ad review and fraud detection.
  • Scale LLM-powered and agentic systems to automate moderation decisions while maintaining high precision.
  • Partner with cross-functional teams to define success metrics and align roadmaps across different product areas.
  • Maintain deep involvement in design, launch decisions, and hands-on technical contributions when necessary.
  • Hire, develop, and retain a high-performing team focused on model quality, reliability, and responsible AI.

What we're looking for

  • Bachelor’s degree in a related technical field or equivalent years of experience.
  • 8+ years of post-Bachelor’s ML industry experience, or a Master’s with 7+ years, or a PhD with 4+ years.
  • At least 1 year of experience leading machine learning engineering teams.
  • Deep understanding of machine learning approaches for classification, recommendation, and content understanding.
  • Experience building production systems with large language models including evaluation, cost management, and latency optimization.
  • Proven track record of setting team strategy and managing cross-functional stakeholders with competing priorities.
  • Experience in ads integrity, content moderation, fraud detection, or marketplace recommendation systems (preferred).
  • Experience with agentic systems, multimodal models, ML infrastructure, or frameworks like PyTorch/TensorFlow (preferred).

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