Machine Learning Operations Jobs in Colorado (NOW HIRING)

The Institute of Cognitive Science (ICS) at the University of Colorado Boulder is a world-renowned interdisciplinary research institute dedicated to understanding the mind, brain, and behavior through the integration of perspectives from computer science, psychology, neuroscience, linguistics, education, and related fields. Within ICS, the HUman Bio-Behavioral Signals (HUBBS) Laboratory develops artificial intelligence and machine learning technologies to better understand human behavior, communication, well-being, and team performance in real-world settings. Our interdisciplinary research combines speech and language processing, multimodal sensing, behavioral science, and human-centered AI to address challenges in healthcare, mental health, education, and team science.

• Develop, adapt, and evaluate speech-based machine learning models for quantifying team functioning and behavioral health.
• Process and analyze audio, speech, language, and other behavioral datasets.
• Design and implement pipelines for audio preprocessing, speaker diarization, speech transcription, feature extraction, and machine learning model development.
• Conduct statistical analyses and validation studies to assess the reliability, interpretability, and operational utility of speech-based indicators of team functioning.
• Collaborate with interdisciplinary partners, including behavioral scientists, operational psychologists, and stakeholders, to translate research findings into practical decision-support tools.
• Contribute to the design of human-centered visualizations and reporting interfaces that communicate AI-generated insights to end users.
• Prepare technical reports, conference papers, journal manuscripts, and presentations describing project findings.
• Participate in regular project meetings, contribute to project planning and execution, and support coordination among collaborating institutions.
• Assist with data management, documentation, and compliance with research and data governance requirements.
 

The position is highly interdisciplinary and will involve close collaboration with researchers in computer science, cognitive science, behavioral health, and human factors. Successful candidates should be comfortable working in a research environment that combines technical innovation with real-world operational applications. The position offers opportunities to contribute to high-impact publications, participate in collaborations with leading researchers and practitioners, and help shape next-generation technologies for supporting human performance and team functioning.

This is an hourly position at a rate of $30 per hour.

A M.S. (or equivalent degree) in Computer Science, Data Science, Electrical Engineering, Human-Computer Interaction, or a related field is required. Candidates must have demonstrated experience in machine learning, data analysis, and scientific programming (e.g., Python), as well as a strong record of research accomplishments as evidenced by peer-reviewed publications or comparable scholarly contributions.

The successful candidate should have strong analytical and problem-solving skills and the ability to work effectively in an interdisciplinary research environment. Required qualifications include experience with machine learning, statistical data analysis, and programming in Python, as well as familiarity with data processing and model evaluation workflows. Experience in one or more of the following areas is highly desirable: speech and language processing, audio signal processing, natural language processing, computational behavioral science, human-centered AI, human-computer interaction, or multimodal data analysis. The candidate should possess excellent written and verbal communication skills, be capable of working independently and collaboratively, and demonstrate the ability to contribute to scientific publications, technical reports, and presentations.

Experience with speech and language processing, audio signal processing, natural language processing, multimodal machine learning, or computational behavioral science is highly desirable. We value candidates with a demonstrated record of research productivity, including peer-reviewed publications, experience working with real-world behavioral datasets, and familiarity with human-centered AI methods. Experience collaborating in interdisciplinary teams and working on projects involving human-centered research applications is also preferred.

To apply, please submit the following materials:

1. Resume or CV.

Please apply by 7/1/2026 for consideration. 

Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.