Senior Manager, Machine Learning Engineering at Unity
Montreal, Quebec, Canada
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Summary
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Jeremie Piotte is a senior manager of machine learning engineering based in Montreal with a decade of experience building low-latency, scalable backend and ML systems for ad-tech and inference platforms. He has led teams at Unity delivering high-performance inference services for ad networks using Go, TensorFlow, Kubernetes and GCP, and previously architected core ad-exchange pipelines that handled billions of daily requests. His work spans distributed systems, performance engineering, and production ML—combining hands-on coding with people leadership to move models from research into resilient, cost-efficient production. An active open-source contributor, he made significant performance and concurrency improvements to simdjson, the blisteringly fast JSON parser used by projects like ClickHouse and Velox. He’s comfortable across languages and stacks (Go, Scala, C++), and has a research background that informs pragmatic engineering trade-offs. Colleagues describe him as a results-driven engineer who pairs deep systems knowledge with a knack for shipping measurable efficiency gains.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at École de technologie supérieure
DEC in Mechanical Engineering, DEC in Mechanical Engineering at Cegep du Vieux Montreal
Computer Engineering, Computer Engineering at Nanyang Technological University Singapore
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
Role in this project:
Back-end Developer
Contributions:8 commits, 9 PRs, 43 pushes in 20 days
Contributions summary:Jeremie primarily focused on enhancing the `JsonStream` class, a core component for parsing JSON data. Their contributions involved implementing concurrency mode through threaded parsing, improving the handling of large files, and addressing edge cases related to infinite loops. They also refined memory allocation for the `max_depth` parameter and added documentation to the `JsonStream` class. The user also made numerous fixes, header refreshes, and performance enhancements.
Contributions:7 releases, 72 commits, 2 PRs in 1 year 2 months
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Jeremie Piotte - Senior Manager, Machine Learning Engineering at Unity