Principal Machine Learning Engineer, Content Relevance, Level 7

Principal Machine Learning Engineer, Content Relevance

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Principal Machine Learning Engineer, Content Relevance

role at

Snap Inc.

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Principal Machine Learning Engineer, Content Relevance

Join to apply for the

Principal Machine Learning Engineer, Content Relevance

role at

Snap Inc.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We’re looking for a Principal Machine Learning Engineer to join the Content Relevance team Snap!

What you’ll do :

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

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 :

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 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

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap : At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability / vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC) :

The base salary range for this position is $276,000-$414,000 annually.

Zone B :

The base salary range for this position is $262,000-$393,000 annually.

Zone C :

The base salary range for this position is $235,000-$352,000 annually.

This position is eligible for equity in the form of RSUs.

Seniority level

Seniority level Mid-Senior level

Employment type

Employment type Full-time

Job function

Job function Engineering and Information Technology

Industries Software Development

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