ML Data Infrastructure Engineer

📋 Description

• Design and build data processing infrastructure for model training and feature serving, optimizing
• Collaborate closely with research teams to design and implement novel data processing architectures
• Identify and resolve performance bottlenecks across the training data pipeline, from raw data
• Establish best practices, tooling for data infrastructure used across ML teams

🎯 Requirements

• 1 - 3 years of experience and a minimum of a BS and/or MS in Computer Science
• Strong software engineering fundamentals, with experience building high-throughput, fault-tolerant
• Hands-on experience with distributed computing frameworks such as Apache Spark or Flink
• Solid grounding in data structures, systems design, and performance optimization
• Strong problem-solving skills and attention to detail

🎁 Benefits

• Equity eligible
• Medical, Dental, Vision, Life, Disability
• 401(k) Retirement Plan
• Unlimited Discretionary Time Off
• 10 paid holidays per year
• 80 hours of paid sick leave per year