Snap
Engineering Manager, Web Ad Ranking
Snap, Palo Alto, California, United States, 94306
Snap Inc (https://www.snap.com/en-US/) 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 (https://www.snapchat.com/) , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (https://ar.snap.com/lens-studio) , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (https://www.spectacles.com/) .
Snap Engineering (https://eng.snap.com/) 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 (https://eng.snap.com/values) are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We're looking for a Machine Learning Engineering Manager to join the Ad Ranking team at Snap!
What you’ll do:
Lead machine learning engineers to create models which drive value for our users, advertising partners, and our company
Design and implement new advertising products end-to-end helping advertisers achieve their business goals
Evaluate the technical tradeoffs of key decisions
Perform design and code reviews to raise technical excellence bar
Build robust, lasting, and scalable products
Iterate quickly without compromising quality
Knowledge, Skills & Abilities:
Strong understanding of machine learning approaches and algorithms and their application to advertising domain
Experience setting the direction for a team whose primary output is online ranking/recommendation models
Strong management and mentorship skills
Excellent verbal and written communication skills, with high attention to detail
Ability to collaborate with internal and external stakeholders at all levels of a company
Skilled at managing ambiguous problems
Minimum Qualifications:
Bachelor’s in a related technical field such as computer science or equivalent years of experience
8+ years ML industry experience or 7+ years ML industry experience and PhD in a related field
2+ years of experience leading machine learning teams teams that focus on ranking and/or recommendations
Preferred Qualifications:
Advanced degree in a related technical field
Experience working with 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
Experience in online advertising domain
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .
"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 (http://careers.snap.com/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) (https://careers.snap.com/us-payzones) :
The base salary range for this position is $222,000-$333,000 annually.
Zone B (https://careers.snap.com/us-payzones) :
The base salary range for this position is $211,000-$316,000 annually.
Zone C (https://careers.snap.com/us-payzones) :
The base salary range for this position is $189,000-$283,000 annually.
This position is eligible for equity in the form of RSUs.
A Decade of Snap (https://www.youtube.com/playlist?list=PLdfCGl7CQeT_N_Gmli1oV1X6c9Ubzoozp)
:
Learn about our origin story, values, mission, culture of innovation, and more.
CitizenSnap (https://citizen.snap.com/)
:
In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
The DEI Innovation Summit (https://actreport.com/dei-innovation-summit-2022/)
:
Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
Snap News (https://newsroom.snap.com/)
:
Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant_and_Candidate_Privacy_Policy.pdf)
Snap Engineering (https://eng.snap.com/) 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 (https://eng.snap.com/values) are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
We're looking for a Machine Learning Engineering Manager to join the Ad Ranking team at Snap!
What you’ll do:
Lead machine learning engineers to create models which drive value for our users, advertising partners, and our company
Design and implement new advertising products end-to-end helping advertisers achieve their business goals
Evaluate the technical tradeoffs of key decisions
Perform design and code reviews to raise technical excellence bar
Build robust, lasting, and scalable products
Iterate quickly without compromising quality
Knowledge, Skills & Abilities:
Strong understanding of machine learning approaches and algorithms and their application to advertising domain
Experience setting the direction for a team whose primary output is online ranking/recommendation models
Strong management and mentorship skills
Excellent verbal and written communication skills, with high attention to detail
Ability to collaborate with internal and external stakeholders at all levels of a company
Skilled at managing ambiguous problems
Minimum Qualifications:
Bachelor’s in a related technical field such as computer science or equivalent years of experience
8+ years ML industry experience or 7+ years ML industry experience and PhD in a related field
2+ years of experience leading machine learning teams teams that focus on ranking and/or recommendations
Preferred Qualifications:
Advanced degree in a related technical field
Experience working with 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
Experience in online advertising domain
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information (https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform) .
"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 (http://careers.snap.com/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) (https://careers.snap.com/us-payzones) :
The base salary range for this position is $222,000-$333,000 annually.
Zone B (https://careers.snap.com/us-payzones) :
The base salary range for this position is $211,000-$316,000 annually.
Zone C (https://careers.snap.com/us-payzones) :
The base salary range for this position is $189,000-$283,000 annually.
This position is eligible for equity in the form of RSUs.
A Decade of Snap (https://www.youtube.com/playlist?list=PLdfCGl7CQeT_N_Gmli1oV1X6c9Ubzoozp)
:
Learn about our origin story, values, mission, culture of innovation, and more.
CitizenSnap (https://citizen.snap.com/)
:
In our third annual CitizenSnap Report, we demonstrate progress towards our environmental, social, and governance (ESG) goals, and we lay out our plans looking forward.
The DEI Innovation Summit (https://actreport.com/dei-innovation-summit-2022/)
:
Watch highlights from the 2nd annual DEI Innovation Summit, which brings together thought leaders and DEI experts for a day of courageous conversations to enable bold action.
Snap News (https://newsroom.snap.com/)
:
Stay up to date on the latest and greatest product and innovation news at Snap
Applicant and Candidate Privacy Policy (https://storage.googleapis.com/hris-assets/Applicant_and_Candidate_Privacy_Policy.pdf)