Principal Machine Learning Engineer, Content Relevance, Level 7 jobs in United States
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Snap Inc. · 3 months ago

Principal Machine Learning Engineer, Content Relevance, Level 7

Snap Inc. is a technology company that believes in the transformative power of the camera for communication and expression. They are seeking a Principal Machine Learning Engineer to lead the Content Relevance team, focusing on optimizing personalized video recommendation systems and advancing the core machine learning capabilities within the organization.

Computer Software
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

Drive the technical roadmap of the Content Relevance team and optimize our personalized video recommendation systems
Advance the core ML capabilities and design, implement, and scale the overall architecture of the content recommendation systems, ensuring scalability, performance, and reliability
Collaborate with cross-functional teams to 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 company

Qualification

Machine LearningDeep LearningRecommendation SystemsProgramming SkillsTensorFlowPyTorchTechnical LeadershipCollaboration SkillsMentorship SkillsProblem Solving

Required

Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain
Experience setting the direction for a team whose primary output is online ranking / recommendation 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
Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience
9+ years of industry machine learning experience
2+ years of experience as a technical lead
Experience developing and shipping performant and scalable machine learning models for recommendation or ranking use cases

Preferred

Experience with recommendation systems
Experience with TensorFlow, PyTorch, or related deep learning frameworks
Advanced degree in a related field such as machine learning, computer vision, 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

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

Company

Snap Inc.

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Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate.

H1B Sponsorship

Snap Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (332)
2024 (369)
2023 (333)
2022 (356)
2021 (318)
2020 (237)

Funding

Current Stage
Late Stage

Leadership Team

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Derek Andersen
Chief Financial Officer
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Edesa Betkolia
CFO Operations Lead
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Company data provided by crunchbase