Lead ML Researcher
Alldus - San Francisco, CA
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My client is looking for a senior level ML/LLM researcher to join their team. They help engineering teams cost effectively fine-tune and serve small open-source LLMs on sota infrastructure.We are seeking a highly skilled Lead ML/LLM Researcher to spearhead our core research initiatives focused on machine learning algorithms and optimization. In this role, you will engage in hands-on development of our training and inference stack while guiding a team of talented ML professionals to enhance our LLM fine-tuning and serving platform.The ideal candidate will have previous publications or experience related to novel LLM fine-tuning techniques, not just using the currently available sota methods.Responsabilities:Research & Development:Investigate and integrate new fine-tuning techniques into the core LLM platform.Optimize inference processes using advanced quantization and compression methods.Develop high-performance modeling code in C++ or CUDA as needed.Leadership & Strategy:Lead and mentor a team of machine learning contributors.Define and set new research objectives aligned with company goals.Collaborate with the founding team to shape the product roadmap and technical vision.Collaboration:Work cross-functionally with engineering and product teams to implement research findings.Ensure seamless integration of research advancements into production systems.Qualifications:Education:Master's or Ph.D. in Computer Science, Machine Learning, or a related field.Technical Skills:Strong expertise in machine learning algorithms and LLMs.Proficiency in programming languages such as C++ and CUDA.Experience with model fine-tuning, quantization, and compression techniques.Experience:Proven track record in ML/LLM research and development investigating novel fine-tuning techniquesDemonstrated leadership in managing and mentoring technical teams.Experience in defining and executing research strategies.
Created: 2025-02-01