Principal ML Engineer - Trust & Safety Platform

SNAP, Inc.; Los Angeles (CA); Sur place; USD 276 000 - 414 000; Plein temps

Résumé du poste

Snap Inc. in Los Angeles seeks a Principal Machine Learning Engineer for the Platform Integrity Engineering team. Lead design, training, and deployment of scalable ML models to detect harmful content and protect users, while guiding cross-team strategy and ensuring privacy and compliance.

You will mentor colleagues, shape the ML tech stack, and translate product requirements into robust, high-performance solutions across Snap’s ecosystems.

Qualifications

• 9+ years in ML with leadership or domain expert role.
• Experience shipping scalable ML models for trust and safety.
• Proficiency in TensorFlow or PyTorch and modern ML systems.

Responsabilités

• Design, implement, and scale ML models to protect Snapchatters.
• Collaborate with teams to align ML strategy with company goals.
• Stay updated on ML advances and apply them to problems.
• Upgrade ML stack and improve organization performance.
• Understand product needs and deliver actionable solutions.

Connaissances

Machine learning

Deep learning

Computer vision

NLP

LLMs/VLMs

Team leadership

Programming (Python)

Formation

Bachelor’s in CS/Math/Stats

MS/PhD in a technical field

Outils

TensorFlow

PyTorch

Description du poste

Snap Inc. in Los Angeles seeks a Principal Machine Learning Engineer for the Platform Integrity Engineering team. Lead design, training, and deployment of scalable ML models to detect harmful content and protect users, while guiding cross-team strategy and ensuring privacy and compliance.

You will mentor colleagues, shape the ML tech stack, and translate product requirements into robust, high-performance solutions across Snap’s ecosystems.