Manager, Machine Learning Engineering, Web Ads Ranking

SNAP/SNAP

Machine Learning Engineering Manager leading team for large-scale ad indexing and ranking systems at Snap. Collaborating across product teams to define architecture and improve ML strategies.

Posted 7/1/2026full-timePalo Alto • California, New York, Washington • 🇺🇸 United StatesSeniorLead💰 $229,000 - $343,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading machine learning teams to develop large-scale indexing, retrieval, and ranking systems, with a strong focus on collaboration, mentorship, and strategic vision in machine learning applications for advertising and recommendations.

Highest-signal resume keywords

Machine Learning LeadershipRanking Systems DevelopmentLarge Language Models UtilizationTeam Management and MentorshipCollaboration with Stakeholders

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsRecommender SystemsData Evaluation FrameworksKeyword ExtractionDescription GenerationSemantic Relevance Judging

Soft Skills

Verbal CommunicationWritten CommunicationProblem SolvingAttention to DetailTeam Collaboration

Industry Keywords

Machine LearningIndexing SystemsRetrieval SystemsAds TechnologyProduct Collaboration

About the role

Key responsibilities & impact

Lead a team of machine learning engineers and software engineers to build large-scale indexing, retrieval, and ranking systems that deliver the most relevant Snapchat ads and drive revenue
Collaborate with broad product teams in Snap to define the architecture and vision of the system, and grow the team beyond the initial scope
Build the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes
Build and grow a high-performing team by raising the bar for engineering and ML excellence, developing talent, and helping shape Snap’s broader machine learning strategy

Requirements

What you’ll need

Bachelor’s in a related technical field such as computer science or equivalent years of experience
8+ years of post-Bachelor’s ML industry experience; or a Master’s degree in a technical field + 7+ year of post-grad ML experience; or a PhD in a related technical field + 4+ years of post-grad ML experience
1 + year(s) of experience leading machine learning teams that focus on ranking or recommendations
Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search system
Experience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging
Strong management and mentorship skills, fostering a collaborative and innovative team culture
Excellent verbal and written communication skills, with meticulous attention to detail
Ability to effectively collaborate with stakeholders at all levels, both internally and externally
Proficiency in managing and solving ambiguous problems.

Benefits

Comp & perks

paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages that let you share in Snap’s long-term success