Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7

Snap•Bellevue, NE

18d•Hybrid

About The Position

Snap Inc. is a technology company focused on improving communication through its camera-centric products. The company operates Snapchat, Bitmoji, and other digital services. Engineering teams at Snap build technically sophisticated products used by hundreds of millions of users globally. The company values are central to its operations, emphasizing speed, precision, and privacy. This role is for a Principal Machine Learning Engineer joining the Platform Integrity Engineering team.

Requirements

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.

Nice To Haves

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.

Responsibilities

Design, implement, and scale critical machine learning models and systems to protect Snapchatters globally from harmful content and bad actors.
Promote a healthy content ecosystem through effective moderation.
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.