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About the Role

Snap Inc. is seeking a Principal Machine Learning Engineer to join the Platform Integrity Engineering team. This role is crucial for protecting Snapchatters globally from harmful content and bad actors, promoting a healthy content ecosystem, and ensuring regulatory compliance through the design, implementation, and scaling of critical machine learning models and systems.

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, 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.

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.
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.

Skills

Machine learning
Deep learning
Computer vision
Natural language processing
LLMs/VLMs
Trust and Safety
Content Moderation
Content Quality
TensorFlow
PyTorch
Online safety
Multimodal models
AI publications

Location

Zone A (CA, WA, NYC)
Zone B
Zone C

Work Type

Office (4+ days per week)

Experience Level

Principal
9+ years of post-Bachelor’s machine learning experience
Master’s degree + 8+ year of post-grad ML experience
PhD + 5+ years of post-grad ML experience
2+ years of technical leadership experience

Education Level

Bachelor's in a technical field (e.g., computer science, mathematics, statistics) or equivalent experience
Master's degree in a technical field
PhD in a related technical field
Advanced degree in machine learning, computer vision, natural language processing, or mathematics

Salary/Compensations

Zone A (CA, WA, NYC): $276,000-$414,000 annually
Zone B: $262,000-$393,000 annually
Zone C: $235,000-$352,000 annually

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 in the form of RSUs

About the Company

Snap Inc. is a technology company focused on improving the way people live and communicate through the camera.
The Company operates Snapchat, Specs Inc., Bitmoji, Saturn, and other digital services.
Snap Engineering teams build fun and technically sophisticated products reaching hundreds of millions of Snapchatters globally.
We are deeply committed to the well-being of our global community and value moving fast with precision and privacy.

Equal Opportunity

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
EOE, including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law.