Manager, Machine Learning Engineering, User & Friends (San Francisco)

Manager, Machine Learning Engineering, User & Friends

Join to apply for the Manager, Machine Learning Engineering, User & Friends role at Snap Inc.

Snap Inc is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Companys core products are Snapchat, Lens Studio, and Spectacles.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters worldwide. Were deeply committed to the wellbeing of everyone in our global community, and our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

What youll do: Lead a team of machine learning engineers and software engineers to build largescale indexing, retrieval, and ranking systems to deliver the best Snapchat content and drive user growth. 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 system to drive rapid iteration and highquality decision making: work closely with Data Science and Product partners to define success metrics. Build and grow a highperforming team: uplevel the teams engineering and ML excellence, and influence the companywide ML strategy. Knowledge, Skills & Abilities: Deep understanding of machine learning approaches, algorithms and their application to recommender and search systems. Experience in utilizing large language models for tasks like keyword extraction, description generation, and semantic relevance judging. Experience in Search Engine Optimization. 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. Minimum Qualifications: Bachelors in a related technical field such as computer science or equivalent years of experience. 8+ years of postbachelors ML industry experience; or a Masters degree in a technical field plus 7+ years of postgrad ML experience; or a PhD in a related technical field plus 4+ years of postgrad ML experience. 1+ year(s) of experience leading machine learning teams that focus on ranking or recommendations. Preferred Qualifications: Experience with realtime recommendation or search ranking systems. Experience with building LLMbased information retrieval or tagging systems. 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. Experience working with largescale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikitlearn, or related frameworks. Benefits:

Snap Inc. is committed to the wellbeing of employees and offers generous benefits, including paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snaps longterm success.

Compensation: In the United States, salary ranges vary by location. For example, in California, Washington, NYC, the base salary range is $229,000$343,000 annually. Other zones have slightly lower ranges. Equity in the form of RSUs is also offered.

If you have a disability or special need requiring accommodation, please let us know.

Default Together policy: Team members are expected to work in an office 4+ days per week.

Seniority level

MidSenior level

Employment type

Fulltime

Job function

Engineering and Information Technology

We are an equalopportunity employer. Snap Inc. is proud to provide employment opportunities regardless of race, religion, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender identity, gender expression, pregnancy, birth 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 will consider qualified applicants with criminal histories in a manner consistent with applicable law.