Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7

Snap is seeking a Principal Machine Learning Engineer to join its Platform Integrity Engineering team in Bellevue, WA. In this role, you will design, build, and scale machine learning models and systems that help protect Snapchatters from harmful content and bad actors while supporting moderation and regulatory compliance. You will also help raise the bar on Snap’s machine learning technology stack through technical direction that impacts a wider ML community.

Location: Bellevue, WA (onsite)

Compensation: USD 235,000 - 414,000 per yearly. This position is eligible for equity in the form of RSUs.

What you’ll do

• Design, implement, and scale critical machine learning models and systems to protect Snapchatters worldwide from harmful content and bad actors, support effective moderation, and ensure regulatory compliance.
• Partner with cross-functional teams to define and align on machine learning strategies that match company objectives.
• Keep current with advancements in machine learning and apply new techniques to solve complex problems in innovative ways.
• Collaborate with leadership to improve and up-level the ML tech stack, including performance across the organization.
• Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions for innovative products and services.
• Advocate for and apply best practices across availability, scalability, operational excellence, and cost management.
• Provide technical direction that influences the broader machine learning community.

What you bring

• 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 a Master’s degree in a technical field with 8+ years of post-grad ML experience; or a PhD in a related technical field with 5+ years of post-grad ML experience.
• 2+ years of experience in technical leadership or serving as a domain expert to a technical organization.
• Experience developing and shipping performant, scalable machine learning models.
• Experience with TensorFlow, PyTorch, or related deep learning frameworks.
• Strong grounding in machine learning and deep learning, including computer vision, natural language processing, and LLMs/VLMs approaches and algorithms, with applications to Trust and Safety, Content Moderation, and Content Quality.
• Experience setting team direction for online machine learning models that proactively detect harmful content and bad actors, moderate content supply to support a 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 to work.
• Strong problem-solving skills for ambiguous challenges and the ability to lead and execute complex technical initiatives.
• Collaboration and mentorship skills.

Technologies

• TensorFlow
• PyTorch

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

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 ML techniques and features such as social, time sequence, and user behavioral signals to detect bad actors.
• 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 strong 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.

Work policy: Expect your team members to work in an office 4+ days per week.