Senior Machine Learning Infrastructure Engineer

📋 Description

• Work at the intersection of model architecture and ML infrastructure, partnering closely with core
• Design and own large-scale data engineering and streaming systems that power ML, including
• Build online and continual learning systems that let models adapt to user behavior and content
• Investigate model, data, and systems tradeoffs end to end, from streaming data pipelines and
• Own the architecture, establish engineering best practices of scalability, reliability, and
• Work closely with data scientists, ML engineers, platform teams, and product stakeholders to

🎯 Requirements

• 5+ years of experience designing, building, and deploying large-scale machine learning and data
• 3+ years of experience tech-leading ML infrastructure or data engineering teams.
• Hands-on experience with large-scale streaming and data processing systems (e.g., Kafka, Flink
• Experience building or operating online, incremental, or continual learning systems for
• Strong communication skills and a collaborative approach to problem solving.
• BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.

🎁 Benefits

• Starting base pay for this position is as shown below. The actual base pay is dependent upon a
• All full-time employees are also eligible for equity compensation and for benefits as described on