Machine Learning Engineer (LLM)

Location: Zaragoza, Spain; hybrid workplace with flexible working hours.

Company

hirify.global is a fast-growing deep-tech company developing quantum software and artificial intelligence solutions, including CompactifAI for compressing foundational AI models and Singularity for quantum and quantum-inspired optimization.

What you will do

• Design and develop quantum-inspired techniques for compressing large language models and solving domain-specific use cases.
• Evaluate, benchmark, fine-tune, and optimize LLMs for accuracy, robustness, and efficiency.
• Build LLM-based applications, including retrieval-augmented generation systems and AI agents.
• Design, train, and deliver custom deep learning models for clients, including solutions beyond LLMs such as computer vision.
• Integrate language models into products, document experiments and development processes, and contribute to research.
• Share expertise, guide junior team members, participate in code reviews, and recommend emerging LLM tools and technologies.

Requirements

• Bachelor’s, Master’s, or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or a related field.
• At least 5 years of hands-on experience designing, training, or fine-tuning deep learning models, preferably transformer or computer vision models.
• At least 5 years of hands-on experience using transformer models and excellent command of HuggingFace Transformers, Accelerate, Datasets, or similar libraries.
• Strong mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, including training and inference.
• Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
• Strong understanding of GPU architectures and LLM hardware and software infrastructures.
• Excellent Python programming skills and experience with relevant libraries such as PyTorch and HuggingFace.
• Experience with cloud platforms, ideally AWS, containerization technologies such as Docker, and deploying AI solutions in a cloud environment.
• Excellent written and verbal communication skills, with the ability to collaborate in a fast-paced environment and communicate complex ideas effectively.
• Fluent English.

Nice to have

• Research publications in deep learning or another technology field.
• Experience running large-scale workloads on high-performance computing clusters and handling large datasets while ensuring data quality.
• Experience with inference and deployment environments such as TensorRT and vLLM.
• Experience evaluating LLM accuracy, including with the OpenLLM Leaderboard.
• Experience building and evaluating RAG systems.
• Experience building non-LLM deep learning applications in computer vision, audio, or signal processing.
• Familiarity with AI ethics and responsible AI practices.
• Experience with DevOps or MLOps practices in deep learning product development.

Culture & Benefits

• Indefinite employment contract, equal pay, variable performance bonus, and signing bonus.
• Work visa sponsorship and a relocation package where applicable.
• Private health insurance and eligibility for an educational budget according to internal policy.
• Hybrid work, flexible hours, language classes, and discounted lunch options.
• Career development opportunities, including learning and teaching, in an inclusive, multicultural, and sustainability-focused environment.