ML Infrastructure Software Engineer, Snap

• 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
• 2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field
• Experience building large scale production machine learning systems, distributed systems or big data processing

Desirable

• 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
• Build and enhance feature generation pipelines that power real-time and batch ML models for content ranking and recommendations
• 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 closely with ML engineers to deploy cutting-edge models into production