Lead ML Engineer, Platform Integrity

SNAP, Inc.; Palo Alto (CA); 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

RSUs / Equity

Job summary

Snap Inc. is seeking a Principal Machine Learning Engineer for the Platform Integrity Engineering team in Palo Alto. You will design, implement, and scale ML models to protect Snapchatters from harmful content and ensure regulatory compliance.

Lead ML strategy with cross-functional teams, mentor engineers, and push for scalable, reliable, cost-efficient systems while staying at the forefront of ML, CV, NLP, and LLM/VLM innovation.

Qualifications

• Bachelor's in a technical field or equivalent exp.
• 9+ years ML experience post-Bachelor's.
• 2+ years technical leadership.
• Experience shipping scalable ML models.

Responsibilities

• Design and scale critical ML models and systems for Trust and Safety.
• Collaborate with cross-functional teams on ML strategy.
• Stay current with ML advancements and apply them.
• Provide technical direction across ML community.

Skills

ML & DL

Computer Vision

NLP & LLMs

Leadership

Mentorship

Team collaboration

Programming

Education

Bachelor's in CS/Math

MS/PhD in ML/CS

Tools

TensorFlow

PyTorch

Job description

Snap Inc. is seeking a Principal Machine Learning Engineer for the Platform Integrity Engineering team in Palo Alto. You will design, implement, and scale ML models to protect Snapchatters from harmful content and ensure regulatory compliance.

Lead ML strategy with cross-functional teams, mentor engineers, and push for scalable, reliable, cost-efficient systems while staying at the forefront of ML, CV, NLP, and LLM/VLM innovation.