Snap
Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7
$235K–$414K
Bellevue, Washington +5 · Principal · Full-time · Posted Oct 9, 2026
- Location
- Bellevue, Washington
Seattle, Washington
San Francisco, California
Palo Alto, California
Los Angeles, California
New York, New York - Experience
- 9+ years post-Bachelor’s; or 8+ years post-grad with a Master’s; or 5+ years post-grad with a PhD. Also requires 2+ years of technical leadership or domain-expert experience.
- Education
- Bachelor’s in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
About the job
Designs and scales machine learning systems that detect harmful content and bad actors, support content moderation and quality, and help ensure regulatory compliance on Snapchat.
What you'll do
- Build and scale machine learning models and systems for platform integrity and moderation.
- Set ML strategy with cross-functional teams and provide technical direction across the ML community.
- Improve ML systems and practices for performance, availability, scalability, operational excellence, and cost management.
What they ask for
- Bachelor’s in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
- 9+ years of post-Bachelor’s ML experience; or a Master’s degree and 8+ years of post-grad ML experience; or a PhD in a related technical field and 5+ years of post-grad ML experience.
- 2+ years of technical leadership experience or acting as a domain expert to a technical organization.
- Experience shipping performant, scalable ML models and with TensorFlow, PyTorch, or related deep learning frameworks.
Nice to have
- Experience in online safety and integrity, including Trust and Safety, Content Moderation, and Content Quality.
- Experience developing multimodal models and LLMs/VLMs for harmful-content detection and detecting bad actors.
Pay
$276,000-$414,000 USD base salary; $262,000-$393,000 USD base salary; $235,000-$352,000 USD base salary
Tools
machine learning, deep learning, computer vision, natural language processing, LLMs/VLMs, TensorFlow, PyTorch
AI focus
Develop online ML models to detect harmful content and bad actors, moderate content supply, improve content quality, and automate moderation tasks.
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