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Jobs(31,365)/Research Scientist Role(98)/hcompany (4) - Graduation Internship - research - London
hcompany

hcompany - Graduation Internship - research - London

Hybrid London - Hybrid5mo ago
In OfficeInternEMEAArtificial IntelligenceResearch ScientistResearch InternInternSummer Intern

Requirements

• PhD (completed or near completion) in Computer Science, Machine Learning, Mathematics, or a related field. • Published in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, ICCV, CoRL). • Strong research and/or research engineering experience at leading ML research labs. • Our Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI. • Research areas include:• Post-training & reinforcement learning, off-policy robustness• Self-verification and learning from feedback• Synthetic data generation at scale• Efficient reasoning• World modelling & Env generation • Research areas include: • Alongside interesting research, you’ll enjoy a very high GPU-to-researcher ratio. • We are excited to tell you more ! • Location:

Responsibilities

• Building foundational models that power agentic technology with a focus on Large Language Models and Vision-Language Models for complex environment interaction through training methods aimed at improved instruction following. • Enhancing model capabilities specifically for agent applications using large-scale reinforcement learning, reward modeling, self-verification, and feedback learning from the team's research areas. • Operating at the intersection of AI research and product development to translate cutting-edge findings into practical solutions driving superintelligent AI advancements.

Benefits

• Join a cutting-edge research team at an exciting startup company focused on shaping the future of autonomous AI systems across industries. • Collaborate with a dynamic and multicultural team in a highly collaborative environment to work alongside world-class AI talent. • Unlock opportunities for professional growth, continuous learning, and career development within an innovative company at the forefront of AI research and product creation.

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