Jonathan La is a Staff ML Engineer based in Vancouver with nine years of experience building and operationalizing machine learning platforms across startups and larger tech teams. He has progressed from internships in ML and user behavior analytics to leadership roles driving ML platform automation and MLOps at Perceive, Amazon Lab126, and Deep Genomics. Jonathan blends engineering physics and math grounding with hands-on systems design, specializing in production ML pipelines, automation, and platform reliability. He’s comfortable both leading teams and rolling up his sleeves on infrastructure work, having moved rapidly into staff-level roles that bridge research models and production deployment. Avidly curious about the world, he pairs a passion for learning with a track record of shipping robust ML systems in regulated and high-impact domains.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Engineering Physics, Bachelor of Engineering (B.Eng.) Engineering Physics at McMaster University
Contributions:37 commits, 4 PRs, 27 pushes in 5 months
deep-reinforcement-learning
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