Snap Inc.
Senior Principal Machine Learning Engineer
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 Senior Principal Machine Learning Engineer to join Snap’s team!
What you’ll do
Design, implement, and scale critical machine learning components and services to support Snap’s most strategic initiatives
Advance the core ML capabilities and design, implement, and scale the overall architecture of the 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
BS in a technical field such as computer science, mathematics, statistics or equivalent years of experience
11+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 10+ year of post-grad ML experience; or a PhD in a related technical field + 7+ years of post-grad ML experience
4+ years of experience with technical leadership or acting as the domain-expert to a technical organization
Experience with GPU/TPU inference and optimizations
Preferred Qualifications
Masters/PhD in a technical field such as computer science
Experience leading teams and driving technical roadmaps
Experience working with machine learning, recommendation and ranking systems, or vector similarity search
Experience with TensorFlow, PyTorch, or related deep learning frameworks
Experience with Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, Google/AWS services
Experienced in MLOps and managing production machine learning lifecycle
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development
Equal Opportunity Snap is an equal opportunity employer and is committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical or 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 will consider qualified applicants with criminal histories in a manner consistent with applicable law.
Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The starting pay is based on job-related skills, experience, qualifications, work location, and market conditions and may be negotiable within the salary range.
Zone A (CA, WA, NYC): The base salary range for this position is $334,000-$500,000 annually.
Zone B: The base salary range for this position is $317,000-$475,000 annually.
Zone C: The base salary range for this position is $284,000-$425,000 annually.
This position is eligible for equity in the form of RSUs.
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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 Senior Principal Machine Learning Engineer to join Snap’s team!
What you’ll do
Design, implement, and scale critical machine learning components and services to support Snap’s most strategic initiatives
Advance the core ML capabilities and design, implement, and scale the overall architecture of the 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
BS in a technical field such as computer science, mathematics, statistics or equivalent years of experience
11+ years of post-Bachelor’s machine learning experience; or a Master’s degree in a technical field + 10+ year of post-grad ML experience; or a PhD in a related technical field + 7+ years of post-grad ML experience
4+ years of experience with technical leadership or acting as the domain-expert to a technical organization
Experience with GPU/TPU inference and optimizations
Preferred Qualifications
Masters/PhD in a technical field such as computer science
Experience leading teams and driving technical roadmaps
Experience working with machine learning, recommendation and ranking systems, or vector similarity search
Experience with TensorFlow, PyTorch, or related deep learning frameworks
Experience with Docker, Kubernetes, Ray, NoSQL solutions, Memcache/Redis, Google/AWS services
Experienced in MLOps and managing production machine learning lifecycle
Job Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development
Equal Opportunity Snap is an equal opportunity employer and is committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical or 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 will consider qualified applicants with criminal histories in a manner consistent with applicable law.
Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The starting pay is based on job-related skills, experience, qualifications, work location, and market conditions and may be negotiable within the salary range.
Zone A (CA, WA, NYC): The base salary range for this position is $334,000-$500,000 annually.
Zone B: The base salary range for this position is $317,000-$475,000 annually.
Zone C: The base salary range for this position is $284,000-$425,000 annually.
This position is eligible for equity in the form of RSUs.
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