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AI Researcher
Posted 14 days agoViewed
🔍 Industry: AI
🏢 Company: iGenius👥 101-250💰 $20,161,290 Series A over 2 years agoArtificial Intelligence (AI)Business IntelligenceAnalyticsInformation Technology
🗣️ Languages: English
Requirements:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Master's degree with exceptional research experience will be considered)
- Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, ICLR)
- Deep understanding of machine learning principles, particularly deep learning and transformer-based architectures
- Expertise in large language models, generative AI, and natural language processing
- Experience with machine learning frameworks like PyTorch or TensorFlow
- Strong programming skills in Python and related ML/data science libraries
- Excellent analytical and mathematical skills, including statistics and linear algebra
- Experience with large-scale model training and distributed computing
- Demonstrated ability to conduct independent research and drive projects from conception to completion
Responsibilities:
- Conduct cutting-edge research in natural language processing, language models, and generative AI to advance the state-of-the-art in these fields
- Design, develop, and implement novel machine learning algorithms and techniques specifically for LLMs
- Analyze and interpret complex datasets, particularly in text and language domains
- Collaborate with cross-functional teams including engineers, data scientists, and product managers to translate research into practical applications
- Stay current with the latest AI research, particularly in LLMs, by reading academic papers, attending conferences, and engaging with the research community
- Publish research findings in top-tier academic journals and conferences, enhancing iGenius reputation as a leader in AI research
- Develop prototypes to demonstrate the feasibility and potential of new AI approaches
- Mentor junior researchers and contribute to the growth of our research team
- Contribute to the responsible development of AI by addressing issues of bias, fairness, and transparency in language models
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