Machine Learning Researcher

Machine Learning ResearcherUp to $170,000+ChicagoWe are seeking a passionate Machine Learning Researcher specializing in Large Language Models (LLMs) to drive groundbreaking AI research and develop innovative NLP solutions in a collaborative, cutting-edge environment.The CompanyThey lead in AI and machine learning innovation, developing solutions that transform industries. Their team pushes the limits of AI to create technologies that empower businesses and individuals. Focused on building intelligent systems that learn, predict, and operate autonomously, they invite you to join the AI revolution.The RoleConduct cutting-edge research in the development and optimization of large language models, with a particular emphasis on open-source frameworks and models. Investigate new architectures, training techniques, and fine-tuning methods to push the boundaries of what LLMs can achieve.Design and implement advanced machine learning algorithms and architectures specifically tailored for large-scale natural language processing tasks. Work on improving the efficiency, scalability, and accuracy of LLMs in diverse applications, including text generation, understanding, and knowledge representation.Collaborate with interdisciplinary teams, including data scientists, engineers, and domain experts, to define research objectives and devise innovative strategies for integrating LLMs into a variety of real-world applications. Ensure that research efforts align with both theoretical exploration and practical deployment.Publish groundbreaking research findings on LLMs in top-tier AI and machine learning conferences and journals, contributing to the open-source community. Present at conferences, workshops, and seminars to share insights and foster discussions around the latest advancements in LLMs.Stay at the forefront of advancements in large language models, transformers, and related technologies. Continuously integrate the latest research breakthroughs and methodologies into ongoing projects to improve the performance and capabilities of LLM-based systems.RequirementsMasters or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a closely related field, with a specific focus on natural language processing (NLP), large language models, or deep learning techniques.A strong track record of publications in top-tier AIML conferences and journals, particularly those related to NLP, LLMs, or transformers (e.g., ACL, NeurIPS, ICML). Demonstrated experience in advancing LLM research or similar model architectures.Expertise in fine-tuning, training, and deploying deep learning frameworks such as PyTorch, TensorFlow, or JAX. Familiarity with large-scale model training techniques, including distributed computing and efficient memory management.Proficiency in programming languages such as Python, R, or C++, with significant experience in building and optimizing models for natural language tasks.Experience in managing and processing large-scale datasets, as well as expertise in large-scale data analysis, model training, and performance evaluation, particularly for LLMs.Exceptional problem-solving skills, with the ability to think critically and develop novel solutions to complex machine learning problems. Proven ability to innovate in the space of large language models and NLP.Strong communication skills, with the ability to present complex research ideas clearly and collaborate effectively with diverse, interdisciplinary teams. Ability to contribute to both technical and non-technical discussions on the integration and deployment of LLM-based systems.BenefitsSalary up to $170,000+Health coverHow to ApplyPlease register your interest by sending your CV to Luc Simpson-Kent via the link on this page.

Created: 2024-11-01