Machine Learning Engineer (Intern)

Donostia, Spain

Multiverse Computing

World leaders in Quantum AI. We apply quantum and quantum-inspired AI to solve complex problems delivering practical applications and tangible value today.

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Multiverse is a well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. We are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international.

We provide hyper-efficient software to companies seeking to gain an edge with quantum computing and artificial intelligence. Our main products, Singularity and CompactifAI, address critical needs across various industries. Singularity remains a trusted solution for blue-chip companies in finance, energy, manufacturing, cybersecurity, and more. CompactifAI, on the other hand, is a groundbreaking compressing tool of foundational models that uses Tensor Networks to extremely compress AI systems, such as large language models, making these efficient and portable.

You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us.

As a Machine Learning (LLM) Intern, you will:

  • Join a world-class team of AI and Quantum experts with an extensive track record in both academia and industry.
  • Work with real world-wide customers across several industries.
  • Collaborate closely with the founding team in a fast-paced startup environment.
  • Contribute to the design and development of novel machine learning models based on quantum and quantum-inspired technologies to solve challenging use cases in various domains.
  • Implement prototypes based on these technologies and prepare and run experiments to test performance.
  • Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, fine-tuning and optimizing models for enhanced accuracy, robustness, and efficiency.
  • Evaluate the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency.

Required Qualifications

  • Master in Artificial Intelligence, Computer Science, Data Science, or related fields.
  • Experience in machine learning and specifically in LLM/NLP, with a solid understanding of fundamental concepts.
  • At least one personal project working with Large Language Models.
  • Excellent programming skills in Python and experience with relevant libraries (TensorFlow, scikit-learn, Pandas, etc.).
  • Familiarity with cloud platforms (ideally AWS) and containerization technologies (Docker).
  • Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively.


Preferred Qualifications

  • Proven experience building successful AI-driven projects in an industrial or research environment.
  • Experience in data engineering and handling large datasets and ensuring data quality.
  • Personal projects in ML will be valued.

Perks & Benefits

  • 6-month internship contract.
  • Equal pay guaranteed.
  • Relocation package (if applicable).
  • Hybrid opportunity.
  • Flexible working hours.
  • Eligibility for educational budget according to internal policy.
  • Flexible retribution with Cobee.
  • Language classes and discounted lunch options.
  • Working in a high paced environment, working on cutting edge technologies.
  • Career plan. Opportunity to learn and teach.
  • Progressive Company. Happy people culture.

As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.

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Tags: AWS Computer Science Data quality Docker Engineering Finance Industrial LLMs Machine Learning ML models NLP Pandas Python Research Scikit-learn TensorFlow

Perks/benefits: Career development Flex hours Relocation support Startup environment Team events

Region: Europe
Country: Spain

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