Principal ML Engineer - Platform Integrity & Safety

SNAP, Inc.; San Francisco (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

Equity/RSUs

Job summary

Snap Inc. is seeking a Principal Machine Learning Engineer to join the Platform Integrity Engineering team in San Francisco.

You will design and scale ML models for trust and safety, collaborate with cross-functional teams, and drive the ML stack forward while balancing performance, cost, and reliability. The role requires deep expertise in ML, DL, CV, and NLP, with a track record of leading teams and shipping scalable systems.

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.
• Experience with TensorFlow, PyTorch, or related deep learning frameworks.

Responsibilities

• Design, implement, and scale critical machine learning models and systems to protect Snapchatters around global from harmful content and bad actors, promote a healthy content ecosystem through effective moderation, and ensure regulatory compliance
• 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

Computer vision

NLP

ML systems design

Python

TensorFlow

PyTorch

Team leadership

Mentorship

Education

Bachelor's in CS/Math/Stats

Advanced degree in ML/CS

Tools

TensorFlow

PyTorch

Job description

Snap Inc. is seeking a Principal Machine Learning Engineer to join the Platform Integrity Engineering team in San Francisco.

You will design and scale ML models for trust and safety, collaborate with cross-functional teams, and drive the ML stack forward while balancing performance, cost, and reliability. The role requires deep expertise in ML, DL, CV, and NLP, with a track record of leading teams and shipping scalable systems.