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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading machine learning engineering teams, developing multi-year strategies for recommendation systems, and driving technical roadmaps. Proven ability to mentor diverse engineering talent and collaborate effectively with cross-functional executives in a fast-paced, multi-site environment.
Highest-signal resume keywords
Machine Learning LeadershipSoftware Engineering ExperienceTeam Management at ScaleMachine Learning AlgorithmsRecommendation Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningSoftware DevelopmentRanking SystemsGenerative RecommendationsTechnical Roadmap DevelopmentOperational ExcellenceArchitecture DecisionsCollaboration with ExecutivesEfficiency Driving
Soft Skills
MentoringCross-Functional CollaborationProblem SolvingInfluencingTeam Building
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Technical FieldPhD in Related Technical Field
Industry Keywords
Content Machine Learning EngineeringTechnical ChallengesHigh-Performing TeamsMulti-Site OperationsOrganizational Goals
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 building experiences in Snapchat
- Oversee day-to-day operations of Content ML teams across multiple offices
- Develop organizational-level goals and drive the 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 high-performing 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
- Ability to partner with cross-functional executives and management across a geographically distributed organization
- Demonstrated experience leading and developing engineers with diverse backgrounds, skill sets, and perspectives
- Strong understanding of machine learning, deep learning approaches, and algorithms
- Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
- Experience with Machine Learning and Generative Recommendations
- Experience with high-scale ranking and recommendation systems
Benefits
Comp & perks- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages including equity in the form of RSUs
- Default Together approach with in-office work 4+ days per week