Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7
About The Position
Snap is seeking a Principal Machine Learning Engineer to join its Platform Integrity Engineering team. The role focuses on designing, implementing, and scaling machine learning models and systems that protect Snapchatters from harmful content and bad actors, promote a healthy content ecosystem through effective moderation, and support regulatory compliance. The engineer will help set machine learning strategies, improve the ML technology stack and organizational performance, and provide technical direction across the ML community. The position works across teams to understand product requirements, assess trade-offs, and deliver solutions. It also calls for applying best practices in availability, scalability, operational excellence, and cost management. Snap practices a “default together” approach, expecting team members to work in an office 4+ days per week.
Requirements
- Bachelor’s degree in a technical field such as computer science, mathematics, or statistics, or equivalent years of experience.
- At least 9 years of post-bachelor’s machine learning experience; or a master’s degree in a technical field and at least 8 years of post-graduate ML experience; or a PhD in a related technical field and at least 5 years of post-graduate ML experience.
- At least 2 years of technical leadership experience or experience 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 understanding of machine learning, deep learning, computer vision, natural language processing, and LLM/VLM approaches and algorithms, including applications to Trust and Safety, Content Moderation, and Content Quality.
- Experience setting direction for a team whose primary output is online machine learning models for proactive detection of harmful content and bad actors, healthy content supply moderation, and high-precision automation of moderation tasks.
- Ability to design, train, and optimize advanced machine learning models.
- Excellent programming and software design skills.
- Ability to learn new concepts and technology proactively and apply them at work.
- Skill in solving ambiguous problems and leading and executing complex technical initiatives.
- Strong collaboration and mentorship skills.
Nice To Haves
- 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 using state-of-the-art machine learning techniques to detect bad actors through 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 machine learning models and systems to detect harmful content and bad actors, promote effective moderation and a healthy content ecosystem, and support regulatory compliance.
- Collaborate with cross-functional teams to set and align machine learning strategies with company objectives.
- Stay current with machine learning technology and apply it to complex problems.
- Collaborate with leadership to improve the ML technology stack and organizational performance.
- Work across teams to understand product requirements, evaluate trade-offs, and deliver product or service solutions.
- Advocate for and apply best practices for availability, scalability, operational excellence, and cost management.
- Provide technical direction that influences the broader ML community.
Benefits
- Paid parental leave.
- Comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages that include equity in the form of RSUs.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
