Palo Alto
Full time
Posted 90 days ago
R0036559
Snap Inc is a technology company. We believe 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 Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We are looking for a Senior Machine Learning Manager to join the Ad Ranking Team in Monetization.
What you’ll do:
Support a group of elite machine learning engineers and scientists to advance ML modeling and capabilities, build and improve advertising products, and help our partners achieve their business goals on the Snap platform
Build robust, lasting, and scalable products, and iterate quickly without compromising quality
Evaluate the technical tradeoffs of key decisions and technical roadmap
Support the team, grow leaders, and foster positive team culture
Build strong partnership with key stakeholders and leadership
Knowledge, Skills & Abilities:
Strong understanding of ML approaches and algorithms, and their applications to advertising or recommendation
Excellent verbal and written communication skills, with high attention to detail
Experience collaborating with internal and external stakeholders at all levels of a company
Experience in solving open ambiguous problems from end to end
Strong people management skills
Minimum Qualifications:
Bachelor’s in a technical field such as computer science or equivalent years of experience
10+ years of machine learning experience in industry
4+ years experience managing ML teams focusing on advertising applications
Preferred Qualifications:
Master’s degree or PhD in computer science or related field
Experience working with ML frameworks such as TensorFlow, PyTorch or related frameworks
Experience managing a team of 25+ engineers with manager reports
Previous experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, 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.
Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. 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!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
The base salary range for this position is $244,000-$366,000 annually.
This position is eligible for equity in the form of RSUs.
