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About the Role
The Director of ML will lead the Content Machine Learning Engineering team, responsible for setting multi-year ML strategy for recommendation/ranking, content understanding, production reliability, and experimentation. This role involves managing and developing managers and connecting model investments to business outcomes.
Responsibilities
- Support teams solving technical challenges and building world-class experiences in Snapchat.
- Maintain software and a platform used by over 450 million people daily.
- Oversee day-to-day operations of Content ML teams across multiple offices.
- Develop organizational-level goals and drive the technical and organizational roadmap for the engineering team.
- Collaborate with Executives, Finance, Product, and Engineering teams to deliver high-quality products.
- Influence key decisions on architecture and implementation of 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 without compromising quality and raise the bar on operational excellence.
Requirements
- 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.
- Experience working with ML, AI, and ranking systems.
- 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.
Skills
- Machine learning
- Deep learning approaches
- Algorithms
Location
- Seattle
- Los Angeles
- San Francisco
- Palo Alto
- New York
Work Type
- Onsite (4+ days per week)
Experience Level
- 10+ years of software engineering experience post-Bachelor’s
- Master’s degree in a technical field + 9+ years of post-grad software development experience
- 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
Education Level
- Bachelor's Degree in a relevant technical field such as computer science
- Master's degree in a technical field
- PhD in a related technical field
Salary/Compensations
- Zone A (CA, WA, NYC): $334,000-$500,000 annually
- Zone B: $317,000-$475,000 annually
- Zone C: $284,000-$425,000 annually
Benefits
- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages that let you share in Snap’s long-term success
- Equity in the form of RSUs
About the Company
- Snap Inc. is a technology company focused on improving the way people live and communicate through its camera.
- The company operates Snapchat, Specs Inc., Bitmoji, Saturn, and other digital services.
- The Content Machine Learning Engineering organization builds systems for personalized candidate retrieval, ranking, content understanding, quality, freshness, and relevance for Stories and Spotlight.
- The team enhances user experience, drives innovation, supports content creators, and makes content creation effortless.
- They tackle multi-modal content understanding using graph representation learning and content ranking.
- The team optimizes ML models through human review and uses state-of-the-art personalization techniques.
Equal Opportunity
- Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
- EOE, including disability/vets.
- We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).