Staff Machine Learning Engineer, Ads Attribution, 8+ Years of Experience

$222,000 - $333,000/Yr

Snap Inc. - Los Angeles, CA

Full-time - Senior

Los Angeles, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Staff Machine Learning Engineer at Snap Inc. will focus on building, optimizing, and deploying machine learning models specifically for identity resolution and ads attribution. This role is crucial in driving value for users, advertisers, and the company while collaborating with cross-functional teams to align on machine learning strategies. The engineer will also be responsible for maintaining high code quality and developing scalable products in a fast-paced environment.

Responsibilities

• Build, optimize, and deploy machine learning models to support identity resolution and ads attribution
• Create models which help drive value for users, advertisers, and the company
• Collaborate with cross-functional teams to align on machine learning strategies to meet company objectives
• Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways
• Perform code reviews and ensure exceptional code quality
• Build robust, lasting, and scalable products
• Iterate quickly without compromising quality

Requirements

• Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
• 8+ years machine learning experience in industry
• Experience building and applying machine learning models to one of the following areas: ads attribution, identity, measurement, or privacy-preserving ML
• Strong understanding of machine learning approaches and algorithms
• Strong computer science fundamentals
• Skilled with unsupervised learning for unlabeled data
• 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, leadership, and mentorship skills

Nice-to-haves

• 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 on machine learning infrastructure and systems

Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages that let you share in Snap's long-term success