Snap Inc.
Senior Manager, Machine Learning Engineering, Content Moderation & Understanding
Snap Inc., Palo Alto, California, United States, 94306
Senior Manager, Machine Learning Engineering, Content Moderation & UnderstandingSnap 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 Senior Manager, Machine Learning Engineering to lead the Content Moderation and Understanding team at Snap!
What you’ll do:
Develop solutions to long-term challenges within content understanding and personalization.
Build a world-class content moderation system to prevent policy-violating views of content on Snapchat.
Lead the development of state-of-the-art cross-attention machine learning models to improve understanding of user preferences across static images, videos, lenses, and ad interactions.
Drive the team’s strategy and goal setting related to project impact, system design, and ML/Engineering excellence.
Provide technical direction that influences the entire company and improves the performance of the organization.
Support the team, grow leaders, and foster a positive team culture.
Knowledge, Skills & Abilities:
In-depth understanding of common Machine Learning and Deep Learning algorithms.
Strong understanding of ML approaches and algorithms, and their applications in recommendation systems.
Strong people leadership skills; ability to develop top engineering talent and leaders.
Ability to lead and execute large, complex technical initiatives and solve open ambiguous problems end to end.
Ability to collaborate with internal and external stakeholders at all levels of a company.
Minimum Qualifications:
Bachelor's in a technical field such as computer science or equivalent years of experience.
10+ years of machine learning experience in the industry.
4+ years experience managing ML teams focusing on any of the following areas: content understanding, content moderation, personalization, or sequence learning.
Preferred Qualifications:
Advanced degree in computer science or related field.
Experience leading content understanding, content moderation, or personalization teams.
Previous experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment.
Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments.
Experience working with a diverse group of engineers.
If you have a disability or special need that requires accommodation, please 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 $244,000-$366,000 annually.
Zone B:
The base salary range for this position is $232,000-$348,000 annually.
Zone C:
The base salary range for this position is $208,000-$311,000 annually. This position is eligible for equity in the form of RSUs.
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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 Senior Manager, Machine Learning Engineering to lead the Content Moderation and Understanding team at Snap!
What you’ll do:
Develop solutions to long-term challenges within content understanding and personalization.
Build a world-class content moderation system to prevent policy-violating views of content on Snapchat.
Lead the development of state-of-the-art cross-attention machine learning models to improve understanding of user preferences across static images, videos, lenses, and ad interactions.
Drive the team’s strategy and goal setting related to project impact, system design, and ML/Engineering excellence.
Provide technical direction that influences the entire company and improves the performance of the organization.
Support the team, grow leaders, and foster a positive team culture.
Knowledge, Skills & Abilities:
In-depth understanding of common Machine Learning and Deep Learning algorithms.
Strong understanding of ML approaches and algorithms, and their applications in recommendation systems.
Strong people leadership skills; ability to develop top engineering talent and leaders.
Ability to lead and execute large, complex technical initiatives and solve open ambiguous problems end to end.
Ability to collaborate with internal and external stakeholders at all levels of a company.
Minimum Qualifications:
Bachelor's in a technical field such as computer science or equivalent years of experience.
10+ years of machine learning experience in the industry.
4+ years experience managing ML teams focusing on any of the following areas: content understanding, content moderation, personalization, or sequence learning.
Preferred Qualifications:
Advanced degree in computer science or related field.
Experience leading content understanding, content moderation, or personalization teams.
Previous experience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgment.
Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments.
Experience working with a diverse group of engineers.
If you have a disability or special need that requires accommodation, please 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 $244,000-$366,000 annually.
Zone B:
The base salary range for this position is $232,000-$348,000 annually.
Zone C:
The base salary range for this position is $208,000-$311,000 annually. This position is eligible for equity in the form of RSUs.
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