Snap Inc.
Software Engineer, ML Infrastructure, Level 5
Join to apply for the
Software Engineer, ML Infrastructure, Level 5
role at
Snap Inc. Snap Inc is a technology company that believes 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, Lens Studio, and its AR glasses, Spectacles. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters worldwide every day. We’re deeply committed to the well‑being of everyone in our 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. You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful. Responsibilities
Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s 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 Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation Work on state‑of‑the‑art vector search algorithms to improve the precision, recall and scalability of our retrieval systems 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
Bachelor’s degree in a technical field such as computer science or equivalent experience 6+ years of post‑Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years 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 don’t be shy and provide us some information. 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 $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. Benefits
Snap Inc. is its own community, so we’ve got your back! 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 Snap’s long‑term success. Equal Opportunity Employer
Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, colour, 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 (including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
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Join to apply for the
Software Engineer, ML Infrastructure, Level 5
role at
Snap Inc. Snap Inc is a technology company that believes 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, Lens Studio, and its AR glasses, Spectacles. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters worldwide every day. We’re deeply committed to the well‑being of everyone in our 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. You’ll play a critical role in scaling our ML Infrastructure, optimizing AI training and inference systems, and driving innovations that make Snapchat’s ranking and recommendation systems more efficient and impactful. Responsibilities
Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s 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 Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation Work on state‑of‑the‑art vector search algorithms to improve the precision, recall and scalability of our retrieval systems 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
Bachelor’s degree in a technical field such as computer science or equivalent experience 6+ years of post‑Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years 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 don’t be shy and provide us some information. 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 $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. Benefits
Snap Inc. is its own community, so we’ve got your back! 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 Snap’s long‑term success. Equal Opportunity Employer
Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, colour, 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 (including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
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