Federated Learning Researcher Paid Interview - (AI/ML)
Location: Remote (Global Applicants Welcome)
Project Focus: We are seeking an experienced researcher or expert in Federated Learning/Decentralized AI, as well as an entrepreneur or expert, to participate in a paid call with you.
The objective of the call is to learn about the socio-technical challenges and opportunities in federated learning, federated learning contribution mechanisms, and federated reinforcement learning.
The job involves participating in a 45-minute Zoom call and completing a follow-up questionnaire to assist with my qualitative research.
Requirements:
* PHD or Master's degree or higher in AI, ML, Computer Science, or related quantitative field.
* Strong expertise in Reinforcement Learning (RL) and Deep Learning.
* Demonstrable experience with Federated Reinforcement Learning (FRL).
* Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow).
* Experience with Federated Learning (FL) frameworks (e.g., Flower) is a significant advantage.
* Excellent, clear English communication skills (written and verbal).
* Extra plus: have worked in an FL startup, project, or company, especially in the healthcare sector.
Contribution - the contribution will be an Amazon Voucher of $20 (virtual coffee) + research findings.
To Apply: Interested candidates, please submit your CV and a brief statement of relevant experience to a.orrantia@roca.capital by July 10th, 2025