Machine Learning Engineer, Ads Attribution, 8+ Years of Experienc...
Snap Inc. - Long Island City, New York, United States, 11101![Snap Inc.](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
Work at Snap Inc.
Overview
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Overview
Increase your chances of an interview by reading the following overview of this role before making an application.
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 quality
Knowledge, 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 skills
Minimum 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 ML
Preferred 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!
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. These pay zones may be modified in the future.
Zone A (CA, WA, NYC):
The base salary range for this position is $230,000-$335,000 annually.
Zone B:
The base salary range for this position is $219,000-$318,000 annually.
Zone C:
The base salary range for this position is $196,000-$285,000 annually.
This position is eligible for equity in the form of RSUs.#J-18808-Ljbffr