AI Researcher, Internship
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Job Description
Part-time AI Researcher conducting applied research related to AI model evaluation and validation methodologies for DATAmundi. Collaborating with engineering and academia to support R&D initiatives.
Responsibilities:
- Conduct applied research related to AI model evaluation, data quality, and validation methodologies
- Co-author research papers, technical reports, and whitepapers
- Implement research prototypes and experimental systems
- Support internal R&D initiatives in areas such as Agentic AI systems, LLM evaluation and validation, Speech and multimodal model assessment, Data-centric AI methodologies
- Collaborate with the engineering team to translate research ideas into practical workflows
- Develop experimental code and proof-of-concept implementations
- Work with datasets used for training, evaluation, and benchmarking
- Design experiments and analyze results
- Write technical blog articles explaining recent advances in AI and ML
- Translate complex research topics into accessible technical content
- Support marketing and communications teams with technically accurate material
- Contribute educational materials and technical explainers
- Attend academic and industry conferences
- Engage with researchers from AI companies and academia
- Discuss research topics, evaluation challenges, and data requirements
- Identify opportunities for collaboration related to dataset needs and model evaluation
- Maintain professional follow-up communication after conferences
Requirements:
- Current PhD student, doctoral candidate, or recent graduate in: Machine Learning / Artificial Intelligence / Natural Language Processing / Speech Processing / Computer Science or related field
- Strong understanding of modern AI models (LLMs, speech models, or multimodal systems)
- Experience implementing research code in Python
- Familiarity with common ML frameworks
- Ability to read and understand academic papers
- Strong written English skills
- Interest in applied research and real-world deployment challenges
Benefits:
- Conference travel will be funded
- Remote collaboration with periodic meetings
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