Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7

Snap’s Platform Integrity Engineering team is seeking a Principal Machine Learning Engineer to design and scale models that improve Trust and Safety outcomes.

Responsibilities

• Design, implement, and scale critical machine learning models and systems to protect Snapchatters from harmful content and bad actors
• Support a healthy content ecosystem through effective moderation and help ensure regulatory compliance
• Partner with cross-functional teams to define and align on machine learning strategies that support company objectives
• Stay current with machine learning technology and apply it to solve complex problems with innovative approaches
• Collaborate with leadership to improve the ML tech stack and advance organizational performance
• Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions for new products and services
• Advocate for best practices across availability, scalability, operational excellence, and cost management
• Provide technical direction that influences the broader ML community

Requirements

• Bachelor’s degree in a technical field such as computer science, mathematics, or statistics, or equivalent years of experience
• 9+ years of post-Bachelor’s machine learning experience, or Master’s in a technical field plus 8+ years of post-grad ML experience, or PhD plus 5+ years of post-grad ML experience
• 2+ years of experience in technical leadership or acting as the domain expert for a technical organization
• Experience developing and shipping performant, scalable machine learning models
• Experience with TensorFlow and/or PyTorch (or related deep learning frameworks)
• Strong understanding of machine learning, deep learning, computer vision, natural language processing, and LLMs/VLMs approaches and algorithms for Trust and Safety, content moderation, and content quality
• Experience setting direction for teams that deliver online machine learning models to proactively detect harmful content and bad actors, moderate content supply with high precision, and automate moderation tasks
• Ability to design, train, and optimize advanced machine learning models
• Excellent programming and software design skills
• Ability to proactively learn new concepts and technology and apply them at work
• Skilled at solving ambiguous problems and leading and executing complex technical initiatives
• Strong collaboration and mentorship skills

Technologies

• TensorFlow
• PyTorch

Preferred Qualifications

• 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, using state-of-the-art techniques to detect bad actors with features such as social, time sequence, and user behavioral signals
• Advanced degree in a related field such as machine learning, computer vision, natural language processing, or mathematics
• Experience partnering with cross-functional executives and management across a globally distributed organization with sound judgment
• Track record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments
• Experience working with a diverse group of engineers
• Experience contributing to AI publications

Benefits

• Paid parental leave
• Comprehensive medical coverage
• Emotional and mental health support programs
• Compensation packages that let you share in Snap’s long-term success (equity eligibility noted below)

Work Location and Policy

• Onsite role in Bellevue, WA
• Default together policy: expect your team members to work in an office 4+ days per week

Compensation

• Zone A (CA, WA, NYC): $276,000 - $414,000 base salary annually
• Zone B: $262,000 - $393,000 base salary annually
• Zone C: $235,000 - $352,000 base salary annually
• Eligible for equity in the form of RSUs