Description
This internship is research-driven from the start: read the literature, implement an idea, design the experiment, analyze the result, and determine whether the approach actually improves fairness.
Projects center on responsible machine learning and bias mitigation, including applications where algorithmic decisions can have meaningful consequences, such as hiring, credit, or healthcare.
Graduate-level training in computer science, AI, ML, mathematics, or a related field is useful, particularly when combined with Python and strong statistics fundamentals.
The opportunity may also involve contributing to research publications, making it more suitable for candidates who want research depth than for those seeking a general software internship.
This is a curated Trainety summary. Refer to BelovTech's original posting for current eligibility and application information.
https://www.belovtech.com/careers/ai-research-intern