Snap Inc.
Staff Machine Learning Engineer, Level 6
Snap Inc., Santa Monica, California, United States, 90403
Staff 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 Staff Machine Learning Engineer to join Snap Inc!
What you’ll do
Create models which help drive value for users, advertisers, and our company
Evaluate the technical tradeoffs of every decision
Perform code reviews and ensure exceptional code quality
Build robust, lasting, and scalable products
Iterate quickly without compromising quality
Knowledge, Skills & Abilities
Strong understanding of machine learning approaches and algorithms
Able to prioritize duties and work well on your own
Ability to work with both internal and external partners
Skilled at solving open ambiguous problems
Strong collaboration and mentorship skills
Minimum Qualifications
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
8+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience
Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Preferred Qualifications
Advanced degree in computer science or related field
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Experience working with machine learning, ranking infrastructures, and system design
We support employees with disabilities and are happy to accommodate. If you have a disability or special need that requires accommodation, please provide us some information.
"Default Together" policy: 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.
We are an equal opportunity employer, 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 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 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 $229,000-$343,000 annually.
Zone B: The base salary range for this position is $218,000-$326,000 annually.
Zone C: The base salary range for this position is $195,000-$292,000 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
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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 Staff Machine Learning Engineer to join Snap Inc!
What you’ll do
Create models which help drive value for users, advertisers, and our company
Evaluate the technical tradeoffs of every decision
Perform code reviews and ensure exceptional code quality
Build robust, lasting, and scalable products
Iterate quickly without compromising quality
Knowledge, Skills & Abilities
Strong understanding of machine learning approaches and algorithms
Able to prioritize duties and work well on your own
Ability to work with both internal and external partners
Skilled at solving open ambiguous problems
Strong collaboration and mentorship skills
Minimum Qualifications
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
8+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience
Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
Preferred Qualifications
Advanced degree in computer science or related field
Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
Experience working with machine learning, ranking infrastructures, and system design
We support employees with disabilities and are happy to accommodate. If you have a disability or special need that requires accommodation, please provide us some information.
"Default Together" policy: 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.
We are an equal opportunity employer, 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 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 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 $229,000-$343,000 annually.
Zone B: The base salary range for this position is $218,000-$326,000 annually.
Zone C: The base salary range for this position is $195,000-$292,000 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
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