What You’ll Do

Conduct cutting-edge research to tackle real-world AI challenges.

Develop high-quality code and documentation to ensure reproducible and impactful research.

Review state-of-the-art research papers and create prototype solutions that redefine what’s possible.

Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community.

Who You Are

A PhD holder in ML/AI, Computer Science/Engineering, or a related field.

A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning.

Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods.

First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI).

Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy).

Comfortable working in Linux environments and collaborating in a hybrid team setup.

Exceptional communication, teamwork, and problem-solving skills.

Why Join Us

Be part of a team that’s at the forefront of AI research, developing solutions that impact millions of users worldwide.

Work in a dynamic and innovative environment where your ideas can shape the future of technology.

Enjoy a hybrid working model with 3 days onsite at our office and 2 days remote.

Collaborate with leading experts in the field and contribute to projects that push the boundaries of what AI can achieve.

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