Jonathon ByrdJB
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Jonathon Byrd

@jonathonbyrd

Applied Machine Learning Research | CMU PhD Track | NeurIPS & ICML author

United States
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What I'm looking for

I’m looking for a remote role on a technically deep team where I can apply and grow my skills in machine learning and AI.

Ideal opportunities involve solving challenging modeling, decision-making, or optimization problems and working on complex, nonstandard problems. Especially roles that balance research with application and engineering.

I'm a machine learning engineer and applied researcher with a background in deep learning, control and decision-making, and real-world ML system design.

I’ve worked on applied ML at Google, published research at NeurIPS and ICML, and studied ML at the PhD level at Carnegie Mellon. My experience spans from core modeling and experimentation to scalable deployment, with a focus on techniques that support intelligent, adaptive systems.

🔹 Areas of focus include:

  • Reinforcement learning, contextual bandits, and adaptive decision systems

  • Deep learning (transformers, vision, multimodal models, generative modeling)

  • Custom model architecture design, evaluation, and optimization

  • ML infrastructure: MLOps, experiment tracking, deployment, monitoring

  • Statistical modeling and probabilistic inference for causality, forecasting, and optimization

I’m especially interested in roles that balance research and engineering - solving open-ended problems, optimizing complex systems, or designing models that improve over time through feedback and interaction.

I bring a rigorous understanding of machine learning and strong execution on end-to-end systems, from exploratory modeling and architecture work to clean, production-grade pipelines. I'm currently open to contract or full-time remote opportunities on technical ML teams.

Experience

Work history, roles, and key accomplishments

JB
Current

Machine Learning Consultant

JByrdML

Nov 2022 - Present (2 years 8 months)

Freelance consulting on a variety of different ML, AI, and data science projects spanning different domains.

GO

Machine Learning Intern

Google

May 2015 - Aug 2017 (2 years 3 months)

Three consecutive summers of internships with the payments risk and gmail/inbox teams

Education

Degrees, certifications, and relevant coursework

Carnegie Mellon logoCM

Carnegie Mellon

PhD, Machine Learning

2018 - 2021

Colorado State University logoCU

Colorado State University

Master of Science, Computer Science

2016 - 2018

Morehead State University logoMU

Morehead State University

Bachelor of Science, Mathematics and Computer Science

2012 - 2016

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