ML Data Infrastructure Engineer

- Solid grounding in data structures, systems design, and performance optimization - Strong software engineering fundamentals, with experience building high-throughput, fault-tolerant distributed systems - Strong problem-solving skills and attention to detail - Have 1 - 3 years of experience and a minimum of a BS and/or MS in Computer Science - Hands-on experience with distributed computing frameworks such as Apache Spark or Flink - Background in MLOps, Data Infrastructure, or ML Infrastructure - Experience with ML training pipelines, feature stores, or model-serving systems Join our ML Data Platform team as an ML Data Infrastructure Engineer. You'll tackle technical challenges, upgrade and implement cutting-edge software infrastructure, and design and build data processing infrastructure for model training and feature serving. Collaborate closely with research teams and establish best practices for data infrastructure used across ML teams. Enjoy a range of benefits, including 100% company-paid health benefits, flexible time off, and retirement benefits with company matching.