Demo

Manager, Machine Learning Engineering, Content Relevance

Snap Inc.
Snap Inc. Salary
Palo Alto, CA Full Time
POSTED ON 1/19/2025
AVAILABLE BEFORE 4/18/2025

Manager, Machine Learning Engineering, Content Relevance

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 .

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

What you’ll 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 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.
  • Minimum Qualifications :

  • Bachelor’s in a related technical field such as computer science or equivalent years of experience.
  • 8 years of ML industry experience.
  • 2 years of experience leading machine learning 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 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.

    Zone A (CA, WA, NYC) : The base salary range for this position is $222,000-$333,000 annually.

    Zone B : The base salary range for this position is $211,000-$316,000 annually.

    Zone C : The base salary range for this position is $189,000-$283,000 annually. This position is eligible for equity in the form of RSUs.

    J-18808-Ljbffr

    Salary : $189,000 - $283,000

    If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
    Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

    What is the career path for a Manager, Machine Learning Engineering, Content Relevance?

    Sign up to receive alerts about other jobs on the Manager, Machine Learning Engineering, Content Relevance career path by checking the boxes next to the positions that interest you.
    Income Estimation: 
    $179,606 - $233,815
    Income Estimation: 
    $211,413 - $298,244
    Income Estimation: 
    $179,606 - $233,815
    Income Estimation: 
    $211,413 - $298,244
    Income Estimation: 
    $119,030 - $151,900
    Income Estimation: 
    $149,493 - $192,976
    Income Estimation: 
    $101,387 - $124,118
    Income Estimation: 
    $119,030 - $151,900
    Income Estimation: 
    $149,493 - $192,976
    Income Estimation: 
    $184,796 - $233,226
    View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

    Job openings at Snap Inc.

    Snap Inc.
    Hired Organization Address Bellevue, WA Full Time
    Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live...
    Snap Inc.
    Hired Organization Address Bellevue, WA Full Time
    Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live...
    Snap Inc.
    Hired Organization Address Bellevue, WA Full Time
    Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live...
    Snap Inc.
    Hired Organization Address New York, NY Full Time
    Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live...

    Not the job you're looking for? Here are some other Manager, Machine Learning Engineering, Content Relevance jobs in the Palo Alto, CA area that may be a better fit.

    Engineering Manager - Machine Learning

    GLO Comms, San Jose, CA

    Engineering Manager, Machine Learning

    Hireio, Inc., San Jose, CA

    AI Assistant is available now!

    Feel free to start your new journey!