Principal ML Engineer, Platform Integrity: Scale Safe ML

SNAP, Inc.; San Francisco (CA); On-site; USD 235,000 - 414,000; Full time

Benefits offered by this job

Equity RSUs

Job summary

Snap Inc. seeks a Principal Machine Learning Engineer to join the Platform Integrity Engineering team. You will design, deploy, and scale ML models to detect harmful content and bad actors, and collaborate with cross-functional teams to align ML strategies with company goals.

You will mentor engineers, advance the ML tech stack, and advocate best practices for availability, scalability, and cost management while moving the organization forward with innovation in Trust and Safety domains.

Qualifications

• Experience leading ML teams delivering online models for safety/moderation.
• Ability to design, train and optimize advanced ML models.
• Strong programming and software design skills.

Responsibilities

• Design, implement, and scale ML models for trust and safety.
• Collaborate with cross-functional teams to align ML strategies.
• Mentor engineers and advance the ML tech stack.

Skills

Machine learning

Deep learning

Computer vision

NLP

LLMs/VLMs

Programming

Leadership

Collaboration

Education

Bachelor's in CS/Math/Stats

Master's degree in technical field

PhD in related field

Tools

TensorFlow

PyTorch

Job description

Snap Inc. seeks a Principal Machine Learning Engineer to join the Platform Integrity Engineering team. You will design, deploy, and scale ML models to detect harmful content and bad actors, and collaborate with cross-functional teams to align ML strategies with company goals.

You will mentor engineers, advance the ML tech stack, and advocate best practices for availability, scalability, and cost management while moving the organization forward with innovation in Trust and Safety domains.