Senior Machine Learning Engineer (LLM)

European Tech Recruit are working closely with an exciting quantum software company, based in San Sebastian, who are looking for a Senior Machine Learning Engineer (LLM) to join their team. In this role, you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of language models, as well as working closely with cross-functional teams to integrate these models into various products. This role can offer a hybrid work arrangement with 3 days onsite and 2 days WFH per week.

Responsibilities:

• Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains.
• Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimizing LLMs for enhanced accuracy, robustness, and efficiency.
• Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.
• Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation.
• Maintain comprehensive documentation of LLM development processes, experiments, and results.
• Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development.
• Participate in code reviews and provide constructive feedback to team members.
• Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate.

Requirements:

• Master's or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or related fields.
• 4 years of hands-on experience with deep learning models and industry experience.
• Strong background and hands-on experience with different ML technologies, especially natural language processing and large language models. Proven experience with Yolo, Llama, Claude, Mistral, or Falcon is a huge plus.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding of the fundamentals of GPU architectures.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Experience with cloud platforms (ideally AWS), containerization technologies (Docker), and with deploying AI solutions in a cloud environment.
• Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.
• Previous research publications in deep learning is a plus.