Software Engineer, Machine Learning Infrastructure

## About the Role Stripe's ML Infrastructure team builds the services and tools powering every step of the ML lifecycle — data exploration, feature generation, training, deploying, and serving models. This role is ideal for engineers with 2+ years of experience looking to work on ML platform at massive scale. ## Responsibilities - Build and maintain services powering Stripe's ML lifecycle - Design data pipelines for feature generation and model training - Develop model serving infrastructure for real-time inference - Improve ML development tooling and experimentation frameworks - Collaborate with ML engineers and data scientists across Stripe ## Requirements - 2+ years of experience in distributed systems or ML infrastructure - Strong programming skills in Python, Java, or Scala - Experience with data processing frameworks (Spark, Flink, or similar) - Understanding of ML model training and serving architectures - BS or MS in Computer Science or related field