Manager, Machine Learning Engineering, Content Ranking
Manager, Machine Learning Engineering, Content Ranking
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$ 195000 - 292000
1 Vacancy
Job Description
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 Companys 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 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 Companys 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. Were 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.
Were looking for a Machine Learning Engineering Manager to join the Content Ranking team at Snap!
What youll do:
Lead a team of machine learning engineers 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: work closely with infrastructure engineers to build robust machine learning infrastructure to support the recommender system
Evaluate the technical tradeoffs in key decision-making processes to ensure optimal outcomes: conduct A/B testing and analyze performance metrics to continuously improve the recommender system.
Perform design and code reviews to raise technical excellence bar
Knowledge Skills & Abilities:
Deep understanding of machine learning approaches algorithms and their application to recommender system
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
Minimum Qualifications:
Bachelors in a related technical field such as computer science or equivalent years of experience
8 years of post-Bachelors ML industry experience; or a Masters 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 and/or recommendations
Preferred Qualifications:
Experience with real-time recommendation systems.
Experience working with large-scale machine learning frameworks such as TensorFlow 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 dont 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.
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).
Compensation
In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates 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 $229000-$343000 annually.This position is eligible for equity in the form of RSUs.
Required Experience:
Manager
Employment Type
Full-Time
