Director, Machine Learning Engineer, Content

Snap Inc.

. Lead the Content Machine Learning Engineering team .

Posted 10/22/2026full-timeUnited StatesLead💰 $334,000 - $500,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading machine learning engineering teams, developing multi-year strategies for content understanding and recommendation systems, and driving operational excellence across geographically distributed teams. Proven ability to mentor technical leaders and influence architectural decisions for scalable engineering solutions.

Highest-signal resume keywords

Machine Learning LeadershipSoftware Engineering ExperienceTeam Management at ScaleCross-Functional CollaborationDeep Learning Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningSoftware DevelopmentRanking SystemsAlgorithmsTechnical Roadmap DevelopmentOperational ExcellenceContent UnderstandingScalable Engineering SolutionsEfficiency Driving

Soft Skills

MentoringCollaborationInfluencingProblem SolvingTeam Building

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Technical FieldPhD in Related Technical Field

Industry Keywords

Content Machine Learning EngineeringTechnical ChallengesGeographically Distributed OrganizationOrganizational-Level GoalsEngineering Managers Development

About the role

Key responsibilities & impact

Lead the Content Machine Learning Engineering team
Set multi-year ML strategy for recommendation/ranking, content understanding, production reliability, and experimentation
Support teams solving technical challenges and maintaining software and platforms used by over 450 million people daily
Oversee day-to-day operations of Content ML teams across Seattle, Los Angeles, San Francisco, Palo Alto, and New York
Develop organizational-level goals and drive the engineering team’s technical and organizational roadmap
Collaborate with Executives, Finance, Product, and Engineering teams
Influence architecture and implementation decisions for scalable, reliable, and cost-effective engineering solutions
Build and scale teams of software engineers, machine learning engineers, and technical leaders
Mentor and develop engineering managers, directors, and senior independent contributors
Iterate quickly while maintaining quality and operational excellence

Requirements

What you’ll need

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
10+ years of software engineering experience post-Bachelor’s; or a Master’s degree in a technical field + 9+ years of post-grad software development experience; or a PhD in a related technical field + 6+ years of post-grad software development experience
5+ years of experience leading a large team at scale and managing engineering with an eye to driving efficiency
Experience working with ML, AI, and ranking systems
Strong understanding of machine learning, deep learning approaches, and algorithms
Demonstrated experience leading and developing engineers with diverse backgrounds, skill sets, and perspectives
Ability to partner with cross-functional executives and management across a geographically distributed organization

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages with eligibility for equity in the form of RSUs
Default Together approach with in-office work 4+ days per week