Machine Learning Engineer, 3+ Years Of Experience

Machine Learning Engineer, 3+ Years of ExperienceSnap 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.
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:
Create models which help drive value for users, advertisers, and our companyEvaluate the technical tradeoffs of every decisionPerform code reviews and ensure exceptional code qualityBuild robust, lasting, and scalable products Iterate quickly without compromising qualityKnowledge, Skills & Abilities:
Strong understanding of machine learning approaches and algorithmsAble to prioritize duties and work well on your ownAbility to work with both internal and external partnersSkilled at solving open ambiguous problemsStrong collaboration and mentorship skillsMinimum Qualifications:
Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience3+ years machine learning experience in industryPreferred 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 with machine learning, ranking infrastructures, and system design

#J-18808-Ljbffr