Software Engineer, ML Infrastructure, Level 5

Overview

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 core products are Snapchat, Lens Studio, and Spectacles. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snap chatters 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.

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. We’re looking for a Software Engineer, ML Infrastructure to join Snap Inc!

• 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
• 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 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

• 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

• 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+ 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

• 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 Tensor Flow, 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.

At Snap: 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. We practice a “default together” approach and expect our team members to work in an office 4+ days per week.

Snap is proud to be 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 are an Equal Opportunity Employer…