Work Mode: Hybrid (3 days from office, 2 day remote)

Job Overview

We are seeking a skilled and experienced Machine Learning Engineer with a strong background in Large Language Models to join our 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 our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.

Required minimum Qualifications:

- Bachelor's, Master's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
- 5+ years of hands-on experience with designing, training or fine-tuning deep learning models, preferably working with transformer or computer vision models.
- 5+ year of hands-on experience using transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc."
- Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference.
- Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.
- Strong understanding with the fundamentals 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 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 or any tech field is a plus

As a Machine Learning Engineer, you will

- 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 optimising LLMs for enhanced accuracy, robustness, and efficiency.
- Build LLM based applications such as RAG and AI agents.
- 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.
- Design, train and deliver custom deep learning models for our clients
- Work in diverse areas beyond LLM, e.g., computer vision.
- 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.

Perks and Benefits

- Signing bonus.
- Relocation package (if applicable).
- Private health insurance.
- Eligibility for educational budget according to internal policy.
- Language classes and discounted lunch options
- Working in a high paced environment, working on cutting edge technologies.

📌 Machine Learning Engineer (España)
🏢 RemoteStar
📍 España