Snap Inc.
Senior Principal Machine Learning Engineer
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 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
Benefits and Employment Details We are an equal opportunity employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law. EEO and disability/veteran status protections apply. We encourage applicants from diverse backgrounds to apply.
Our Benefits: Snap Inc. provides 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, pay ranges vary by location. The starting pay is determined based on job-related skills, experience, qualifications, work location, and market conditions. The base salary ranges shown may be negotiable and are subject to change.
Zone A (CA, WA, NYC): $334,000-$500,000 annually.
Zone B: $317,000-$475,000 annually.
Zone C: $284,000-$425,000 annually.
This position is eligible for equity in the form of RSUs.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Software Development
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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 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
Benefits and Employment Details We are an equal opportunity employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law. EEO and disability/veteran status protections apply. We encourage applicants from diverse backgrounds to apply.
Our Benefits: Snap Inc. provides 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, pay ranges vary by location. The starting pay is determined based on job-related skills, experience, qualifications, work location, and market conditions. The base salary ranges shown may be negotiable and are subject to change.
Zone A (CA, WA, NYC): $334,000-$500,000 annually.
Zone B: $317,000-$475,000 annually.
Zone C: $284,000-$425,000 annually.
This position is eligible for equity in the form of RSUs.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Software Development
Referrals increase your chances of interviewing at Snap Inc. by 2x
Get notified about new Machine Learning Engineer jobs in Bellevue, WA.
#J-18808-Ljbffr