- Build, optimize, and deploy machine learning models for identity resolution and ads attribution
- Create models to drive value for users, advertisers, and the company
- Collaborate with teams to align on machine learning strategies
- Stay updated on the latest ML technology and apply it to solve complex problems
- Conduct code reviews to ensure high-quality code
- Develop robust, scalable products
- Iterate quickly while maintaining quality
- Deep understanding of machine learning techniques and algorithms
- Strong foundation in computer science
- Experience with unsupervised learning
- Ability to prioritize tasks and work independently
- Skilled at solving ambiguous problems
- Strong collaboration, leadership, and mentorship abilities
- Bachelor's degree in a technical field (Computer Science, Mathematics, Statistics) or equivalent experience
- 8+ years of ML experience in industry
- Experience building and applying ML models in areas like ads attribution, identity, measurement, or privacy-preserving ML
- Advanced degree in computer science or related field
- Experience with ML frameworks such as TensorFlow, PyTorch, etc.
- Experience working on ML infrastructure and systems
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Machine Learning Engineer, Ads Attribution, 8+ Years of Experience - Los Angeles, United States - Snap Inc.
Description
Snap Inc. is a tech company dedicated to enhancing how people communicate and live. At Snap, we believe in the power of the camera to make a difference in people's lives. Our products include Snapchat, a visual messaging app, Lens Studio, an AR platform, and Spectacles, our AR glasses.
Snap Engineering teams create innovative products that reach millions of users daily. We prioritize privacy and move with agility to deliver quality results. Currently, we are seeking a Machine Learning Engineer to join our team.
Knowledge, Skills & Abilities:
Minimum Qualifications:
Preferred Qualifications:
Default Together Policy at Snap: At Snap Inc., we emphasize collaboration and teamwork. Team members are expected to work in an office at least 80% of the time for optimal results.
Join Snap's diverse team and contribute to creating innovative products that reshape communication. Snap is proud to be an equal opportunity employer providing employment opportunities regardless of background. We offer comprehensive benefits to support your well-being and success.
Compensation:
In the United States, salaries are based on pay zones. The salary range for this position is:
Zone A (CA, WA, NYC): $222,000-$333,000 annually
Zone B: $211,000-$316,000 annually
Zone C: $189,000-$283,000 annually
This position is also eligible for equity in the form of RSUs.
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