Machine Learning Engineer, Ads Attribution, 8+ Years of Experience
Company: Snap
Location: Los Angeles
Posted on: May 8, 2024
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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 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 it's 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're looking for a Machine Learning Engineer to join
Snap Inc!What you'll do:Build, optimize, and deploy machine
learning models to support identity resolution and ads
attributionCreate models which help drive value for users,
advertisers, and our companyCollaborate with cross-functional teams
to align on machine learning strategies to meet company
objectivesStay up-to-date with the latest technology in machine
learning and apply this knowledge to tackle complex problems in
innovative waysPerform code reviews and ensure exceptional code
qualityBuild robust, lasting, and scalable productsIterate quickly
without compromising qualityKnowledge, Skills & Abilities:Strong
understanding of machine learning approaches and algorithmsStrong
computer science fundamentalsSkilled with unsupervised learning for
unlabeled dataAble to prioritize duties and work well on your
ownAbility to work with both internal and external partnersSkilled
at solving open ambiguous problemsStrong collaboration, leadership,
and mentorship skillsMinimum Qualifications:Bachelor's degree in
technical field such as computer science, mathematics, statistics
or equivalent years of experience8+ years machine learning
experience in industryExperience building and applying machine
learning models to one of the following areas: ads attribution,
identity, measurement, or privacy-preserving MLPreferred
Qualifications:Advanced degree in computer science or related
fieldExperience working with machine learning frameworks such as
TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related
frameworksExperience working on machine learning infrastructure and
systems"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 at least 80% of the time (an average of 4 days
per week). For roles with remote consideration: Remote team members
still are expected to travel for mandatory in-person gatherings and
to fulfill business needs, at least 4 to 6 times per year.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. If you have a disability or special need that
requires accommodation, please don't be shy and contact us at
accommodations-ext@snap.com.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!CompensationIn 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. 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.SummaryLocation: Los Angeles, California; Seattle, Washington;
Palo Alto, California; New York, New YorkType: Full time
Keywords: Snap, Perris , Machine Learning Engineer, Ads Attribution, 8+ Years of Experience, Engineering , Los Angeles, California
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