remote
Machine Learning User Research Scientist Ph.D. required - Exponent
ML Engineer
Lead advanced machine learning research with a focus on user-centered design, leveraging Python and rigorous statistical methods to develop innovative solutions for complex engineering challenges.
About the role
Key Responsibilities
- Design, implement, and evaluate machine learning models that address real-world engineering problems, ensuring alignment with user needs and safety standards.
- Conduct user research studies, including interviews, surveys, and usability testing, to inform model development and feature prioritization.
- Apply advanced statistical techniques and experimental design principles to validate model performance and interpret results.
- Collaborate with cross-functional teams of engineers, scientists, and regulatory experts to translate research findings into actionable product improvements.
- Publish findings in technical reports and present insights to stakeholders, driving data-informed decision making.
Requirements
- Ph.D. in Computer Science, Statistics, Cognitive Science, or related field.
- Proven experience in machine learning, including deep learning, with strong Python programming skills.
- Expertise in statistical analysis, hypothesis testing, and experimental design.
- Excellent communication skills and ability to translate complex technical concepts to non-technical audiences.
- Passion for user-centered research and a track record of applying research to solve engineering challenges.
Skills
machine learningpython