Software Engineer, Data Flywheel Platform

📋 Description

• Build and scale data curation and enrichment pipelines that turn world-scale fleet data into
• Build the evaluation infrastructure behind foundation-model progress, including harnesses for
• Build and optimize training and serving infrastructure for large pretrained models, including
• Build the data-platform backbone: distributed data processing (Ray Data, Daft, Spark / Databricks)
• Make systems self-serve and reliable by turning one-off processes into products that other teams
• Partner closely with Applied Scientists and ML Engineers to take research from prototype to

🎯 Requirements

• Strong production software engineering, especially production Python (services, APIs, large-scale
• Large-scale data and distributed-systems experience: batch and streaming pipelines, workflow
• Systems design for scale: reliable, observable, high-throughput data or ML systems, with strong SQL
• A track record of shipping and operating production systems that other teams depend on: testing
• Strong CS fundamentals and several years of production experience (roughly 6 or more for TC3, more
• Seniority to match the level: takes ambiguous, cross-team problems and drives them to completion

🎁 Benefits

• Opportunity to work on high-leverage, high-visibility platform with clear path to deep system
• Work with a world-class science and engineering team with real deployment at global OEM scale
• Commitment to creating an inclusive interview experience, with accommodations available upon
• Commitment to a diverse, fair, and respectful culture and inclusive hiring practices.