About the role
You will turn research models into dependable production systems, building the pipelines, tooling, and infrastructure that let the science run reliably and repeatably at the point of growth.
About CHF Research
CHF Research is a deep-technology company developing a controlled-environment platform that grows botanicals and produce to verified, repeatable bioactive specifications, and certifies what is inside them. Based in the Chattahoochee Hills near Fairburn, Georgia, we bring together plant science, analytical chemistry, sensing, and machine learning to turn plant quality from a marketing claim into measured evidence.
What you will do
• Productionize models from the research team into reliable services.
• Build and maintain data and training pipelines, experiment tracking, and monitoring.
• Optimize models and inference for the platform’s real-time needs.
• Establish testing, versioning, and reproducibility practices for models and data.
• Collaborate with research and software engineers on a clean, maintainable stack.
What you will bring
• A BS or MS in computer science, engineering, or a related field, or equivalent experience.
• Strong software-engineering skills in Python and modern machine-learning tooling.
• Experience deploying and monitoring machine-learning systems.
• Familiarity with data pipelines, cloud infrastructure, and CI/CD.
Nice to have
• Experience with edge or embedded inference.
• Exposure to scientific, sensor, or hardware-integrated systems.
• An interest in reproducible and auditable machine learning.
Why join us
• Work on a genuinely novel problem at the intersection of plant science, measurement, and machine learning.
• Join at the ground floor and help shape the research direction, the team, and the platform.
• Collaborate across disciplines with scientists and engineers who respect each other’s craft.
• Help build something with real impact for food transparency and public nutrition.
• Work with a dedicated controlled-environment testbed and field site in the Georgia countryside.
We welcome applicants from academia, industry, national laboratories, and non-traditional paths. If you meet most but not all of the preferred qualifications, we still encourage you to apply.
How to apply
To apply, send your CV or resume and a brief note about your interest to [email protected].
Equal opportunity
CHF Research is an equal-opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by law. We provide reasonable accommodations to applicants with disabilities on request. Applicants must be authorized to work in the United States.

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