Principal Machine Learning Engineer, Content Relevance, Level 7

Position Overview

We're looking for a Principal Machine Learning Engineer to join the Content Relevance team at Snap. This role will drive the technical roadmap of the Content Relevance team and optimize personalized video recommendation systems, advancing core ML capabilities and designing, implementing, and scaling the overall architecture of content recommendation systems.

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

Requirements & Skills

Knowledge, Skills & Abilities:

• 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

Minimum Qualifications:

• BS in 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 for recommendation or ranking use cases

Preferred Qualifications:

• 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