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About the Role

Job Title: Machine Learning Engineer (Mid/Senior) (LLM)
Location: San Sebastian, Spain (relocation required)
Employment Type: Full-time
Workplace Type: Hybrid
Department: Technical
Seniority Level: Mid-Senior level

Job Overview

We are looking for a skilled and experienced Machine Learning Engineer with a strong background in Large Language Models (LLMs). In this role, you will leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, collaborating with cross-functional teams to integrate these models into our products.

Responsibilities

• Design and develop new techniques to compress Large Language Models using quantum-inspired technologies.
• Conduct evaluations and benchmarks of model performance, identifying areas for improvement.
• Build LLM-based applications such as RAG and AI agents.
• Assess model strengths and weaknesses, propose enhancements, and develop novel solutions.
• Act as a domain expert in LLMs, identifying opportunities for quantum AI-driven innovation.
• Maintain comprehensive documentation of LLM development processes, experiments, and results.
• Share knowledge and expertise with the team to foster continuous learning.
• Participate in code reviews and provide constructive feedback.
• Stay updated with advancements and emerging trends in LLMs.

Required Qualifications

• Bachelor's, Master's, or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
• Mid-Level: 2+ years of experience with deep learning models and neural networks, preferably with LLMs and Transformers.
• Senior Level: 5+ years of experience with deep learning models, preferably with LLMs and Transformers, or computer vision models.
• 2+ years of hands-on experience using LLM and Transformer models, with proficiency in libraries such as HuggingFace Transformers, Accelerate, Datasets, etc.
• Solid mathematical foundations and expertise in deep learning algorithms.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding of GPU architectures and LLM hardware/software infrastructures.
• Excellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.).
• Experience with cloud platforms (ideally AWS), containerization technologies (Docker), and deploying AI solutions in a cloud environment.
• Excellent written and verbal communication skills.
• Previous research publications in deep learning or any tech field is a plus.
• Fluent in English.

Preferred Qualifications

• Spanish language skills.
• Experience running large-scale workloads in high-performance computing (HPC) clusters.
• Experience in DevOps/MLOps practices in deep learning product development.
• Experience in handling large datasets and ensuring data quality.
• Experience with inference and deployment environments (TensorRT, vLLM, etc.).
• Experience in accuracy evaluation of LLMs (OpenLLM Leaderboard).
• Experience building and evaluating RAG systems.
• Familiarity with AI ethics and responsible AI practices.

Perks and Benefits

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• Work visa sponsorship (if applicable).
• Relocation package (if applicable).
• Private health insurance.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Language classes and discounted lunch options.
• Work in a high-paced environment with cutting-edge technologies.
• Career plan with opportunities to learn and teach.
• Progressive company culture focused on employee happiness.

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. We welcome applications from individuals of all backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations.