Principal ML Engineer, Signals & Measurement - Attribution

Snap Inc.; New York (NY); On-site; USD 276,000 - 414,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

RSU equity potential

Job summary

Snap Inc. in New York is seeking a Principal Machine Learning Engineer to lead ML initiatives within Signals & Measurement.

You will design and deploy machine learning systems across the signal lifecycle, from data acquisition to attribution, and help shape monetization strategies. The role emphasizes collaboration with cross-functional teams, staying current with ML advances, and raising the bar for scalability, availability, and cost efficiency, while mentoring others and guiding the ML

Qualifications

• Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience.
• 11+ years of industry machine learning experience.
• Experience developing and shipping performant and scalable machine learning models for recommendation or ranking.
• Experience with TensorFlow, PyTorch, or related deep learning frameworks.

Responsibilities

• Design and develop machine learning systems across the third-party signal lifecycle, from acquisition and curation to matching, attribution, and causal measurement.
• Design, implement, and scale critical machine learning models to support Snap's monetization strategies.
• Collaborate with cross-functional teams to set and 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.
• Collaborate with leadership to up‑level the ML tech stack and improve the performance of the organization.
• Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services.
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management.
• Provide technical direction that influences the entire ML community.

Skills

Machine learning

Deep learning

Online ranking

Recommendation models

Programming

Cross-functional collaboration

Education

Bachelor's degree in CS/Math/Stats or equivalent

Tools

TensorFlow

PyTorch

Job description

Snap Inc. in New York is seeking a Principal Machine Learning Engineer to lead ML initiatives within Signals & Measurement.

You will design and deploy machine learning systems across the signal lifecycle, from data acquisition to attribution, and help shape monetization strategies. The role emphasizes collaboration with cross-functional teams, staying current with ML advances, and raising the bar for scalability, availability, and cost efficiency, while mentoring others and guiding the ML