Lead ML Engineer, Signals & Measurement (Equity RSUs)

Snap; New York (NY); On-site; USD 262,000 - 393,000; Full time

Job summary

Snap Inc. is seeking a Principal Machine Learning Engineer for the Signals & Measurement team in the United States. You will design and scale ML systems across acquisition, curation, matching, attribution, and causal measurement to support monetization and product goals.

Collaborate with leadership and cross-functional teams to align ML strategies, push the ML stack forward, and tackle complex problems with privacy at the forefront. Strong mentoring and collaboration skills are essential.

Qualifications

• Bachelor's degree in a technical field or equivalent
• 11+ years of industry machine learning experience
• Experience developing scalable ML models for recommendation or ranking

Responsibilities

• Design and develop ML systems across the signal lifecycle
• Scale ML models to support monetization strategies
• Collaborate with cross-functional teams to align ML strategies
• Stay updated with ML tech and apply to problems
• Provide technical direction across ML community
• Deliver solutions to build innovative products or services

Skills

ML & DL concepts

Online ranking/recommendation

Programming

Collaboration & mentorship

Learning agility

Education

Bachelor's degree in CS/Math/Stats

Advanced degree in ML/CS/Math

Tools

TensorFlow

PyTorch

Job description

Snap Inc. is seeking a Principal Machine Learning Engineer for the Signals & Measurement team in the United States. You will design and scale ML systems across acquisition, curation, matching, attribution, and causal measurement to support monetization and product goals.

Collaborate with leadership and cross-functional teams to align ML strategies, push the ML stack forward, and tackle complex problems with privacy at the forefront. Strong mentoring and collaboration skills are essential.