AI Research Scientist

Join to apply for the AI Research Scientist (PhD) role at Lexsi Labs The Lexsi Lab is a premier research lab dedicated to solving one of the most critical challenges of our time: ensuring that advanced artificial intelligence systems are safe, transparent, and aligned with human values. Founded by pioneers in the deep learning space, our lab operates at the global forefront of AI research with hubs in Mumbai and Paris. We tackle foundational problems in explainability, robustness, and reasoning, publishing our work in top‑tier venues (ICML, IJCNN, WWW, ACL) and creating patented, open‑source tools like DL‑Backtrace that push the boundaries of the field. Key areas where we are looking to expand our R&D: New RL techniques for efficient and faster learning; New tabular foundational models; Interpretability alignment strategies such as pruning, unlearning, safety fine‑tuning, and new exploration agents. We are a team of world‑class researchers, engineers, and visionaries, seeking passionate individuals to join us in shaping a future where AI operates as a beneficial and trustworthy partner to humanity. The Role As an AI Research Scientist, you will work at the heart of our research agenda, tackling fundamental questions in AI alignment and interpretability. You will have the freedom to pursue ambitious, long‑term research projects while collaborating with a team of leading experts. Responsibilities Conduct foundational research in areas such as mechanistic interpretability, explainability, fairness‑aware model design, robustness, and foundational reasoning models. Develop and test novel algorithms and techniques to understand, interpret, and control the behavior of large‑scale AI models (LLMs, MLLMs, diffusion models). Investigate and mitigate failure modes, such as data memorization, bias, and model hallucinations. Contribute to the development of our in‑house foundation models for high‑stakes domains like finance and healthcare. Collaborate with our global team to publish cutting‑edge research in top‑tier AI conferences and journals. Engage with the broader AI safety community and contribute to the open‑source tools we develop. Qualifications A PhD, or a Master’s degree with equivalent research experience, in Computer Science, AI, Machine Learning, or a related quantitative field. A strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI, etc.). Deep technical knowledge of modern machine learning, especially deep‑learning architectures such as Transformers, GNNs, and generative models. Hands‑on experience building and training large models using frameworks like PyTorch or TensorFlow. Excellent programming skills, particularly in Python. A demonstrated interest and passion for AI safety, ethics, and interpretability. Benefits A Mission‑Driven Culture: An opportunity to work on what we believe is the most important and impactful challenge of the 21st century. Intellectual Freedom: The resources and support to pursue ambitious, high‑impact research directions. World‑Class Collaboration: Work alongside and learn from pioneers and leading experts in AI, including individuals with decades of experience and impressive publication records. State‑of‑the‑Art Resources: Access to significant computational resources required for large‑scale AI research. Global Presence: A dynamic and collaborative environment with research hubs in Mumbai and Paris. Competitive Compensation: A competitive salary, benefits package, and opportunities for professional growth. Apply To apply, please send your CV, a link to your Google Scholar profile, and a brief statement of your research interests. Job Details Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering, Information Technology, and Science Industries: IT Services and IT Consulting, Software Development, and IT System Custom Software Development Join us in building a safe & aligned AI for the future. #J-18808-Ljbffr