IBM Research : Chercheurs et Ingénieurs Foundation Models

Contexte

IBM Research is seeking exceptional researchers and engineers to join its Core Foundation Models team, offering opportunities in the United States and India. The recruitment drive targets talented candidates interested in advancing the next generation of artificial intelligence through cutting-edge research in foundation models, reinforcement learning, agentic AI, and enterprise AI systems. Successful candidates will contribute to IBM’s flagship Granite open-source foundation models while working alongside world-class researchers to develop enterprise-grade AI technologies and publish influential scientific research. Advancing the Future of Enterprise AI. The Core Foundation Models team at IBM Research is focused on building advanced AI technologies capable of solving complex real-world challenges for enterprises. The team aims to accelerate innovation by releasing high-quality open-source models and creating realistic evaluation benchmarks that support responsible and scalable enterprise AI adoption. IBM Research has long been recognised as one of the world’s leading industrial research organisations, contributing major innovations across artificial intelligence, quantum computing, cloud computing, semiconductors, cybersecurity, and enterprise technologies. The latest recruitment initiative reflects IBM’s continued investment in developing advanced foundation models capable of addressing complex enterprise challenges while supporting responsible and open AI innovation. Researchers and engineers with a passion for advancing artificial intelligence, reinforcement learning, and large-scale AI systems are encouraged to apply and become part of a team shaping the future of enterprise AI.

Missions et responsabilités

• Agentic AI models.
• Reinforcement Learning (RL) platforms.
• AI environments for training intelligent systems.
• Enterprise AI benchmarking.
• Open-source foundation models.
• AI research publications.
• Collaborate on projects that influence both academic research and commercial AI applications.
• Contribute to Granite, IBM’s family of open-source foundation models, while helping build benchmarks that improve transparency, reliability, and evaluation standards across enterprise AI systems.
• Publish research findings that contribute to the global AI research community.

Profil recherché

• Foundation Models.
• Large Language Models (LLMs).
• Agentic AI.
• Reinforcement Learning.
• Machine Learning.
• Artificial Intelligence.
• AI Evaluation and Benchmarking.
• Enterprise AI Systems.
• Open-source AI Development.
• Bachelor’s degree, Master’s degree, or PhD.
• Candidates with expertise in computer science, artificial intelligence, machine learning, data science, robotics, mathematics, engineering, or related technical fields are likely to be well positioned for these roles.

Conditions et avantages

Positions are available across IBM Research laboratories in Cambridge (Massachusetts, USA), San Jose (California, USA), Yorktown Heights (New York, USA), and Bangalore (India). Applicants are asked to indicate their preferred work location during the application process.

Dossier de candidature

• Full name.
• Email address.
• Current university or institution.
• Highest academic qualification.
• Preferred work location.
• Curriculum Vitae (CV) or résumé.
• Technical statement outlining their suitability for the role, explaining why they are a strong fit, the specific research problem they would focus on, their relevant research or technical experience, technical details of their proposed area of work, and an example from previous work demonstrating their ability to solve complex research or engineering challenges.

Comment postuler

Interested candidates are invited to submit their applications through the online form provided by IBM Research. The organisation notes that only candidates demonstrating an exceptional match with the team’s research priorities will be contacted regarding the next stages of the recruitment process. Please visit the online platform via the provided application link to apply.