Principal Machine Learning Engineer (Platform Integrity Engineering, Level 7)

SNAP, Inc.; Bellevue (WA); On-site; USD 190,000 - 260,000; Full time

Benefits offered by this job

Parental leave up to 28 weeks

Health & dental coverage

Vision coverage

401(k) match

Well-being resources & gym perks

Flexible spending accounts

Job summary

Snap Inc. seeks a senior ML leader to design and scale critical models and systems for proactive harm detection, content moderation, and regulatory compliance. You will align cross-functional teams on ML strategy and elevate the ML tech stack to drive performance and innovation.

You should have extensive experience in machine learning, deep learning, computer vision, NLP, and multimodal models, plus a track record of leading technical initiatives across a global organization.

Qualifications

• 9+ years of post‑Bachelor’s ML experience or equivalent academic credentials.

Responsibilities

• Define ML strategy with cross-functional teams to meet company objectives.
• Set direction for a team producing online ML models for harm detection and moderation.
• Collaborate with leadership to up-level the ML tech stack and drive performance.
• Provide technical leadership and mentorship across the ML community.

Skills

Machine Learning

Deep Learning

Computer Vision

Natural Language Processing

LLMs/VLMs

TensorFlow

PyTorch

Multimodal models

Leadership

Education

PhD in a technical field

Master's degree in a technical field

Bachelor's in CS/Math/Statistics

Tools

TensorFlow

PyTorch

Job description

• Design, implement, and scale critical machine learning models and systems to protect Snapchatters around global 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

Benefits

• Up to 28 weeks of parental leave and return-to-work program
• Adoption, surrogacy, infertility, and fertility preservation benefits
• Backup child care coverage, center-based care support, & caregiver assistance
• Dependent Daycare Flexible Spending Account
• Lactation rooms (based on office location) and breastmilk shipping coverage
• Services to support your path to parenthood & beyond - fertility support & family planning via Carrot, SNOO, Hinge Health
• Short-term disability, long-term disability, basic life insurance, and AD&D insurance
• For Snap, employees taking care of loved ones with complex, chronic, or ongoing care needs (i.e. parent with Dementia, spouse with Cancer, child with Autism), your family can save time, money, & stress with Wellthy
• Comprehensive medical coverage, including PPO, HDHP with HSA, and HMO options
• Dental coverage, including orthodontia benefits
• Vision coverage, including frame and contact allowance and LASIK benefits
• Free membership to One Medical for primary and urgent healthcare services
• Business Travel Insurance
• Gym perks and discounts
• Team fitness classes and races
• Sports leagues
• Cooking and nutritional workshops
• Well-being reimbursement
• Unlimited access to virtual physical therapy with Anthem
• 15 sessions per year of mental health for you + dependents through Lyra
• Generous time off and leave programs. In the US, this includes the following:
• Up to 3 weeks (120 hours) of vacation time and 1 floating holiday for non-exempt team members
• 12 paid holidays per year
• 15 sick and safe days per year
• Social gatherings, team outings, and volunteering programs
• Speaker series, classes, and subscriptions to educational programs
• Meditation and yoga classes
• Snap Inc. provides a 401(k) plan that allows you to save on a pre-tax, Roth, and after-tax basis for your retirement (yes, we even have the Mega backdoor option!) Snap will also match 100% up to 3% of your contribution and then 50% on your 4th and 5th%
• Flexible Spending Accounts for healthcare, daycare and commuter
• Health Savings Account with employer contributions
• Rocket Lawyer memberships
• Financial education programs
• Snap exclusive discounts and perks
• Compensation packages that let you share in Snap’s long-term success!

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 precisionExcellent programming and software design skillsSkilled at solving ambiguous problems and leading and executing complex technical initiativesAbility to proactively learn new concepts and technology and apply them at workAbility to design, train, and optimize advanced machine learning modelsStrong collaboration and mentorship skillsStrong 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 domainsExperience developing and shipping performant and scalable machine learning modelsExperience with TensorFlow, PyTorch, or related deep learning frameworks9+ 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 experience2+ years of experience with technical leadership or acting as the domain-expert to a technical organizationBachelor’s in a technical field such as computer science, mathematics, statistics or equivalent years of experienceExperience in online safety and integrity, including Trust and Safety, Content Moderation, and Content QualityExperience 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 signalsExperience partnering with cross-functional executives and management across a globally distributed organization and exercising sound judgmentAdvanced degree in a related field such as machine learning, computer vision, natural language processing, or mathematicsExperience working with a diverse group of engineersExperience contributing to AI publicationsTrack record of delivery in rapidly changing, highly collaborative, multi-site, multi-stakeholder environments