Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7

About Snap Inc. Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snap Inc.

augmented reality and technology

S

careers.snap.com

5,001-10,000 employees

Software Development

Santa Monica, California

Public Company

562k LinkedIn followers

Raised $7.6B

• 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

Required

• Strong understanding of machine learning, deep learning, computer vision, natural language processing, and LLMs/VLMs approaches and algorithms, and their applications to Trust and Safety, Content Moderation, and Content Quality domains
• Experience setting the direction for a team whose primary output is online machine learning models to proactively detect harmful content and bad actors, moderate content supply to promote healthy content ecosystem, and automate moderation tasks with high precision
• 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
• 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

Preferred

• Experience in online safety and integrity, including Trust and Safety, Content Moderation, and Content Quality
• Experience in developing multimodal models and LLMs/VLMs in harmful content detection, and utilizing the state-of-the-art machine learning 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 and exercising 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
• "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.
• Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

• In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
• The base salary range for this position is $276,000-$414,000 annually.
• The base salary range for this position is $262,000-$393,000 annually.
• The base salary range for this position is $235,000-$352,000 annually.
• This position is eligible for equity in the form of RSUs.
• If you believe this job description is missing required pay transparency information, please submit a report through this form: Job Description Pay Range Disclosure.