Snap
Software Engineer, ML Infrastructure, Level 5
Snap - Santa Monica, California, United States, 90403
Work at Snap
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Overview
Software Engineer, ML Infrastructure, Level 5
Join to apply for the
Software Engineer, ML Infrastructure, Level 5
role at
Snap Inc. Software Engineer, ML Infrastructure, Level 5
17 hours ago Be among the first 25 applicants Join to apply for the
Software Engineer, ML Infrastructure, Level 5
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 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 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.
Youll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchats ranking and recommendation systems more efficient and impactful.
Were looking for a Software Engineer, ML Infrastructure to join Snap Inc!
What youll do:
Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchats ML Infrastructure Develop high-performance inference systems to ensure fast and efficient AI model serving Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud Develop high-performance inference systems to ensure fast and efficient AI model serving Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation Work closely with ML engineers to deploy cutting-edge models into production
Knowledge, Skills & Abilities:
Strong programming skills in Python, Java, Scala or C++ Strong problem-solving skills with a focus on system performance, scalability, and efficiency Good understanding of distributed systems and the infrastructure components of large-scale ML Experience with big data processing frameworks such as Spark, Flink, or Ray Ability to collaborate and work well with others Proven track record of operating highly-available systems at significant scale Ability to proactively learn new concepts and apply them at work
Minimum Qualifications:
Bachelors degree in a technical field such as computer science or equivalent experience 6+ years of post-Bachelors software development experience; or Masters degree in a technical field + 5+ year of post-grad software development experience; or PhD in a relevant technical field+ 2+ years of post-grad software development experience Experience building large scale production machine learning systems, distributed systems or big data processing
Preferred Qualifications:
Masters/PhD in a technical field such as computer science or equivalent industry experience Experience working with ML Training platforms or optimizing AI model inference Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
If you have a disability or special need that requires accommodation, please dont 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 weve 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 Snaps 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 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.
Zone A (CA, WA, NYC):
The base salary range for this position is $209,000-$313,000 annually.
Zone B:
The base salary range for this position is $199,000-$297,000 annually.
Zone C:
The base salary range for this position is $178,000-$266,000 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 Referrals increase your chances of interviewing at Snap Inc. by 2x Sign in to set job alerts for Software Engineer roles.
Don't see a job that matches your experience? Submit your resume here!
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Join to apply for the
Software Engineer, ML Infrastructure, Level 5
role at
Snap Inc. Software Engineer, ML Infrastructure, Level 5
17 hours ago Be among the first 25 applicants Join to apply for the
Software Engineer, ML Infrastructure, Level 5
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 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 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.
Youll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchats ranking and recommendation systems more efficient and impactful.
Were looking for a Software Engineer, ML Infrastructure to join Snap Inc!
What youll do:
Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchats ML Infrastructure Develop high-performance inference systems to ensure fast and efficient AI model serving Build infrastructure to perform scalable ML model training, evaluation, and inference in the cloud Develop high-performance inference systems to ensure fast and efficient AI model serving Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation Work closely with ML engineers to deploy cutting-edge models into production
Knowledge, Skills & Abilities:
Strong programming skills in Python, Java, Scala or C++ Strong problem-solving skills with a focus on system performance, scalability, and efficiency Good understanding of distributed systems and the infrastructure components of large-scale ML Experience with big data processing frameworks such as Spark, Flink, or Ray Ability to collaborate and work well with others Proven track record of operating highly-available systems at significant scale Ability to proactively learn new concepts and apply them at work
Minimum Qualifications:
Bachelors degree in a technical field such as computer science or equivalent experience 6+ years of post-Bachelors software development experience; or Masters degree in a technical field + 5+ year of post-grad software development experience; or PhD in a relevant technical field+ 2+ years of post-grad software development experience Experience building large scale production machine learning systems, distributed systems or big data processing
Preferred Qualifications:
Masters/PhD in a technical field such as computer science or equivalent industry experience Experience working with ML Training platforms or optimizing AI model inference Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks
If you have a disability or special need that requires accommodation, please dont 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 weve 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 Snaps 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 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.
Zone A (CA, WA, NYC):
The base salary range for this position is $209,000-$313,000 annually.
Zone B:
The base salary range for this position is $199,000-$297,000 annually.
Zone C:
The base salary range for this position is $178,000-$266,000 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 Referrals increase your chances of interviewing at Snap Inc. by 2x Sign in to set job alerts for Software Engineer roles.
Don't see a job that matches your experience? Submit your resume here!
Software Engineer, Game Support, Game Studio
Hawthorne, CA $129,300.00-$223,600.00 1 week ago Los Angeles, CA $100,000.00-$150,000.00 2 years ago Los Angeles, CA $120,000.00-$150,000.00 2 weeks ago Dec 2025 New Graduate Engineer, Software (Starship)
Hawthorne, CA $120,000.00-$145,000.00 1 week ago Hawthorne, CA $120,000.00-$145,000.00 2 days ago Glendale, CA $112,600.00-$158,200.00 17 hours ago Santa Monica, CA $109,400.00-$146,700.00 4 weeks ago Software Development Engineer in Test (SDET) iOS & Android
West Hollywood, CA $160,000.00-$200,000.00 1 day ago Software Engineer II - Java Back-end / ABC News
Glendale, CA $114,900.00-$161,300.00 1 month ago Santa Monica, CA $114,900.00-$154,100.00 3 weeks ago Glendale, CA $114,900.00-$168,700.00 3 weeks ago Los Angeles, CA $115,000.00-$195,000.00 1 month ago Los Angeles Metropolitan Area $120,000.00-$150,000.00 4 weeks ago Software Engineer I, Entry-Level (Graduation Date: Fall 2024-Summer 2025)
Chatsworth, CA $98,000.00-$120,000.00 1 week ago Long Beach, CA $100,000.00-$125,000.00 2 weeks ago Hawthorne, CA $120,000.00-$170,000.00 2 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr