Principal Machine Learning Engineer, Platform Integrity Engineering

Snap Inc.

. Design, implement, and scale critical machine learning models and systems to protect Snapchatters from harmful content and bad actors .

Posted 10/9/2026full-timeUnited StatesLead💰 $276,000 - $414,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, implementing, and scaling machine learning models, with a strong focus on regulatory compliance and operational excellence. Proven ability to lead technical initiatives and collaborate effectively across teams to drive innovative solutions.

Highest-signal resume keywords

Machine Learning ExperienceTechnical LeadershipTensorFlowPyTorchDeep Learning

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningDeep LearningComputer VisionNatural Language ProcessingModel OptimizationSoftware DesignProgramming

Soft Skills

CollaborationMentorshipProblem Solving

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

Regulatory ComplianceOperational ExcellenceScalabilityContent Moderation

Tech Stack

Tools & technologies

PyTorchTensorflow

About the role

Key responsibilities & impact

Design, implement, and scale critical machine learning models and systems to protect Snapchatters 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
Stay up-to-date with the latest machine learning technology and apply it to complex problems
Collaborate with leadership to improve the ML tech stack and organizational performance
Understand product requirements, evaluate trade-offs, and deliver solutions for innovative products and services
Advocate for and apply best practices in availability, scalability, operational excellence, and cost management
Provide technical direction influencing the entire ML community

Requirements

What you’ll need

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+ years 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
Strong understanding of machine learning, deep learning, computer vision, natural language processing, and LLMs/VLMs approaches and algorithms
Experience setting the direction for a team whose primary output is online machine learning models
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

Benefits

Comp & perks

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages including equity in the form of RSUs
Default Together approach with in-office work 4+ days per week