Machine Learning Engineer, Level 4, Ads Platform

• Design, develop, and productionize machine learning models that power core Ads Platform systems, including ad ranking, prediction, and delivery, at Snapchat scale
• Apply cutting-edge ML techniques to improve marketplace efficiency, ad relevance, and advertiser outcomes across large-scale, real-world ads challenges
• Lead the end-to-end ML lifecycle, from problem framing and data analysis to model development, online experimentation, production deployment, monitoring, and continuous optimization
• Collaborate closely with cross-functional partners across engineering, product, and data to prototype, launch, and scale ML-powered features that drive measurable impact for advertisers and Snapchatters

• Strong understanding of machine learning approaches and algorithms
• Able to prioritize duties and work well on your own
• Ability to work with both internal and external partners
• Skilled at solving open ambiguous problems
• Strong collaboration and mentorship skills, * Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
• 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
• Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning, * Advanced degree in computer science or related field
• Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
• Experience working with machine learning, ranking infrastructures, and system design

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 $173,000-$259,000 annually.

Zone B (https://careers.snap.com/us-payzones) :

The base salary range for this position is $164,000-$246,000 annually.

Zone C (https://careers.snap.com/us-payzones) :

The base salary range for this position is $147,000-$220,000 annually.

This position is eligible for equity in the form of RSUs.

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