Principal Machine Learning Engineer, Content Relevance, Level 7 (San Francisco)

Principal Machine Learning Engineer, Content Relevance, Level 7

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 Companys 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. Were deeply committed to the wellbeing 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.

Were looking for a Principal Machine Learning Engineer to join the Content Relevance team at Snap!

What youll 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 crossfunctional teams to align on machine learning strategies to meet company objectives Stay uptodate with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways Collaborate with leadership to uplevel the ML tech stack and improve the performance of the organization Work across teams to understand product requirements, evaluate tradeoffs, 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 9+ years of postBachelors machine learning experience; or a Masters degree in a technical field + 8+ year of postgrad ML experience; or a PhD in a related technical field + 5+ years of postgrad ML experience 2+ years of experience with technical leadership or acting as the domainexpert 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 crossfunctional executives and management across a globally distributed organization and exercising sound judgment Track record of delivery in rapidly changing, highly collaborative, multisite, multistakeholder environments Experience working with a diverse group of engineers Experience contributing to AI publications

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).

If you have a disability or special need that requires accommodation, please dont be shy and provide us some information.

We are committed to a default together approach and expect team members to work in an office 4+ days per week.

Benefits

Snap Inc. offers comprehensive benefits including paid parental leave, medical coverage, emotional and mental health support programs, and equity packages.

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidates 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.

ZoneA (CA, WA, NYC): Base salary range $276,000$414,000 annually. ZoneB: Base salary range $262,000$393,000 annually. ZoneC: Base salary range $235,000$352,000 annually.

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

Seniority level: MidSenior level. Employment type: Fulltime. Job function: Engineering and Information Technology. Industry: Software Development.

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