Jenna Maccarley is a Staff Machine Learning Engineer based in New York with 11 years of experience building production-grade systems at the intersection of ML and software engineering. She has progressed from internships at Google and Qualcomm through high-performance trading at Hudson River Trading to senior roles in agriculture tech and a post-acquisition ML team now at Biohub, demonstrating versatility across domains and scales. Jenna excels at turning research-grade models into reliable, scalable pipelines and has led curriculum-level teaching at Carnegie Mellon, signaling strong mentorship and communication skills. Her background in electrical and computer engineering underpins a pragmatic systems-first approach to model deployment and data infrastructure. Uncommonly for an ML engineer, she pairs low-level core development experience with applied ML product delivery, making her effective in both algorithmic optimization and production reliability.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS) Electrical and Computer Engineering, Bachelor of Science (BS) Electrical and Computer Engineering at Carnegie Mellon University
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