Machine Learning (NLP) (Hybrid)

Are you passionate about pushing the boundaries of artificial intelligence? Do you thrive on solving complex challenges and developing cutting-edge solutions. We are seeking a talented Natural Language Processing (NLP) Engineer to join a AI Research Team and contribute to ground-breaking innovations in AI.

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.