Principal ML Engineer, Signals & Measurement

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

Job summary

Snap Inc. seeks a Principal Machine Learning Engineer to join the Signals & Measurement team in New York City. You will design and scale ML systems that power third‑party signals, attribution, and causal measurement to support monetization strategies.

You will guide a team on online ranking/modeling approaches, collaborate with cross‑functional partners, and stay ahead with cutting‑edge ML techniques while ensuring scalable and cost‑efficient solutions.

Qualifications

• Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience.
• 9+ years of post‑Bachelor’s machine learning experience; or a Master’s degree in a technical field + 8+ year of post‑grad ML experience; or a PhD in a related technical field + 5+ years of post‑grad ML experience.
• 2+ years of experience with technical leadership or acting as the domain‑expert to a technical organization.
• Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases.
• 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

ML systems design

Online ranking models

Deep learning

Programming

Ambiguity solving

Mentorship

Education

Bachelor's in CS/Math/Stats

9+ years ML experience

Team leadership

TensorFlow/PyTorch experience

Tools

TensorFlow

PyTorch

Job description

Snap Inc. seeks a Principal Machine Learning Engineer to join the Signals & Measurement team in New York City. You will design and scale ML systems that power third‑party signals, attribution, and causal measurement to support monetization strategies.

You will guide a team on online ranking/modeling approaches, collaborate with cross‑functional partners, and stay ahead with cutting‑edge ML techniques while ensuring scalable and cost‑efficient solutions.