Manager, Machine Learning Engineering, Web Ads Ranking
About the role
The Web Ads Ranking team at Snap is seeking a Machine Learning Engineering Manager to lead a team of engineers in building large-scale systems for delivering relevant ads and driving revenue.
Responsibilities
- 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
- 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
- Able to effectively collaborate with stakeholders at all levels, both internally and externally
- Ability to effectively solve ambiguous problems
Preferred Qualifications
- Experience with real-time recommendation or search ranking systems
- Experience with building LLM based information retrieval or tagging system
- Experience working with distributed systems
- Experience working with machine learning, ranking infrastructures, and system designs
- Proactive learning new concepts and applying them at work
- Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Knowledge, Skills & Abilities
Knowledge, Skills & Abilities: Deep understanding of machine learning approaches, algorithms and their application to recommender, ads and search systemExperience on utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judgingStrong management and mentorship skills, fostering a collaborative and innovative team cultureExcellent verbal and written communication skills, with meticulous attention to detailAbility to effectively collaborate with stakeholders at all levels, both internally and externallyProficiency in managing and solving ambiguous problems
Minimum Qualifications
- 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 teams that focus on ranking or recommendations
Default Together Policy
We practice a “default together” approach and expect our team members to work in an office 4+ days per week.
Benefits
Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Pay
This position is eligible for equity in the form of RSUs.