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AI Research Specialist
3 weeks ago
We are seeking a highly skilled Research Fellow to contribute to our mission of creating a trusted digital environment.
Key Responsibilities:- Conduct advanced research in Generative AI, focusing on the design, development, and optimization of multi-modal LLMs.
- Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content.
- Develop and refine machine learning and deep learning algorithms, including machine unlearning techniques, to enhance model robustness and reliability.
- Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems.
- Collaborate with interdisciplinary teams to align AI research with ethical standards and best practices in AI safety.
- Publish findings in top-tier conferences and journals, contributing to the broader AI and machine learning research community.
- PhD degree in computer science/ engineering or related field.
- Proficiency in Python is a must. Experience with other programming languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous.
- Background in Generative AI research, including multi-modal LLMs as well as background in AI Safety research, including AI authenticity, accountability, and integrity of digital content.
- Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing.
- Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders, bridging the gap between research and practical application.
- Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
- Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.
- Competent in collaborative skills, with experience working in cross-functional teams.
- Interpersonal skill (e.g. Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment. Keen attention to detail and commitment to high-quality deliverables).
