Manager, Machine Learning Engineering, Content Ranking

Snap Inc () is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. Its core products are Snapchat, Lens Studio, and Spectacles, which power AR across Snapchat and other services.

Snap Engineering teams develop sophisticated products for hundreds of millions of users. We are deeply committed to community well‑being, and our values – moving fast, with precision, and prioritizing privacy – drive everything we do.

We're looking for a Machine Learning Engineering Manager to join the Content Ranking team at Snap!

• Lead a team of machine learning and software engineers in developing and optimizing our personalized video recommendation engine.
• Define the overall architecture of the content recommender system, ensuring scalability, performance, and reliability.
• Drive rapid iteration without compromising quality by working closely with infrastructure engineers to build robust machine learning infrastructure.
• Evaluate technical tradeoffs in key decision‑making processes, conduct A/B testing, and analyze performance metrics to continuously improve the recommender system.
• Perform design and code reviews to raise the technical excellence bar.

• Deep understanding of machine learning approaches, algorithms, and their application to recommender systems.
• Experience setting the direction for teams focused on developing online ranking and recommendation models.
• 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.

• 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+ years of post‑graduate ML experience; or a PhD + 4+ years of post‑graduate ML experience.
• 1+ year of experience leading machine learning teams that focus on ranking and/or recommendations.

• Experience with real‑time recommendation systems.
• Experience working with large‑scale machine learning frameworks such as Tensor Flow, Caffe2, PyTorch, Spark ML, scikit‑learn, or related frameworks.
• Experience working with distributed systems.
• Experience working with machine learning, ranking infrastructures, and system designs.
• Ability to proactively learn new concepts and apply them at work.

If you have a disability or special need that requires accommodation, please provide us some information ().

We practice a “default together” approach and expect our team members to work in an office ≥ 4 days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. 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).