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 techniques
• Demonstrated leadership in managing and mentoring technical teams.
• Experience in defining and executing research strategies.