Snap Inc. · 3 hours ago
Staff Machine Learning Engineer, Content Ranking, Level 6
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
$229K/yr - $343K/yr
7+ years expSnap Inc is a technology company that empowers people to express themselves and communicate through innovative products. They are seeking a Staff Machine Learning Engineer to lead the Content Ranking team, focusing on developing advanced machine learning solutions for personalized video recommendations.
Computer Software
Responsibilities
Set and drive the technical direction for the Content Ranking team and advance the core ML capabilities of our personalized video recommendation systems
Design, build, and deploy machine learning solutions to support Snap's content recommendation systems, ensuring scalability, performance, and reliability
Own outcomes for large, cross-team ML initiatives, from problem definition through long-term iteration and impact
Establish technical vision and roadmaps, and resolve complex technical tradeoffs across teams
Influence and mentor engineers across org boundaries through technical leadership and collaboration
Qualification
Required
Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to content, recommendation, and/or search domain
Experience working for a team whose primary output is online ranking / recommendation models
Ability to design, train, and optimize advanced machine learning models
Ability to proactively learn new concepts and technology and apply them at work
Skilled at solving open ambiguous problems
Strong collaboration and mentorship skills
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
8+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience
Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Preferred
Experience in recommendation systems
Advanced degree in computer science or related field
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Experience working with machine learning, ranking infrastructures, and system design
Experience working with LLM modeling or Generative Recommender systems
Experience working with modeling large-scale user interaction sequences
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
This position is eligible for equity in the form of RSUs.
Company
Snap Inc.
Snap is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate.
5001-10000 employees
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
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2025 (394)
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2020 (237)
Funding
Current Stage
Late StageLeadership Team
Derek Andersen
Chief Financial Officer
Edesa Betkolia
CFO Operations Lead
Recent News
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