Role Overview :

We are seeking a Principal AI Scientist to lead cutting-edge AI research and translate scientific breakthroughs into production-ready technologies. This is a senior individual contributor role responsible for advancing the organization's AI capabilities through original research, experimentation, and technical leadership.

Total Experience : 1 - 5 years

Key Responsibilities :

- Lead original AI research aligned with the company's long-term technology vision.

- Design and develop novel machine learning algorithms and AI architectures.

- Stay at the forefront of advances in AI and evaluate emerging techniques for practical adoption.

- Publish research in leading AI conferences and journals where appropriate.

- File patents and contribute to the company's intellectual property portfolio.

- Collaborate with engineering teams to transition research into scalable production systems.

- Mentor AI scientists and research engineers, fostering scientific excellence.

- Define research roadmaps, technical standards, and experimentation methodologies.

- Represent the company through technical talks, publications, conferences, and collaborations with academic institutions.

- Conduct rigorous experimentation, benchmarking, and model evaluation to ensure scientific validity and measurable business impact.

Required Qualifications :

- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Computational Linguistics, Robotics, or a closely related field.

- Demonstrated record of published papers in leading AI conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, AAAI, IJCAI).

- Deep expertise in machine learning, deep learning, and modern AI architectures.

- Strong programming skills in Python.

- Experience with one or more AI frameworks such as PyTorch, TensorFlow, or JAX.

- Proven experience developing and evaluating large-scale AI models.

- Strong understanding of model optimization, distributed training, and scalable AI infrastructure.

- Excellent analytical, communication, and technical leadership skills.

Preferred Qualifications :

- Experience working with foundation models, LLMs, multimodal AI, retrieval-augmented generation (RAG), AI agents, or reinforcement learning.

- Experience with distributed GPU training and high-performance computing environments.

- Track record of patents or open-source contributions.

- Experience leading cross-functional research initiatives.

- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

- Experience supervising or mentoring research scientists.

Success Metrics :

- Delivery of high-impact AI research with measurable business value.

- Successful deployment of research innovations into production.

- Publications in premier AI venues and contributions to the organization's IP portfolio.

- Technical leadership and mentorship of research teams.

- Advancement of the company's long-term AI research roadmap.