Software Engineer optimizing ML Infrastructure for Snap, developing scalable AI model serving systems and collaborating with ML engineers.
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
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
Requirements
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
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
Benefits
paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages that let you share in Snap’s long-term success
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