Machine Learning Engineer (LLM) (Junior)

Multiverse Computing

Spain · Full-time · Associate

Multiverse Computing

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 compression tool for foundational models based on Tensor Networks. With CompactifAi, one can compress AI systems, such as large language models, to make them more 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 Engineer, you will

Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
Work with Fortune-500 customers from government and private sectors.
Collaborate with the founding team in a fast-paced startup environment.
Tackle high value open problems from industry.
Collaborate with quantum experts to design and implement new machine learning models.

Required Qualifications

Master's in Artificial Intelligence, Computer Science, Data Science, or related fields.
1+ years industry experience in similar roles.
Strong background and hands-on experience with different ML technologies, including general machine learning and deep learning, natural language processing, or computer vision, in both supervised and unsupervised tasks.
Excellent programming skills in Python and experience with relevant libraries (TensorFlow, Scikit, Pandas, etc.).
Experience using git, unit testing, and docker.
Experience with cloud platforms (ideally AWS)
Excellent problem-solving skills and ability to work collaboratively in a team environment and communicate complex ideas effectively.
Ability to work with a diverse team of people, both in-person and through online resources.
Perfect command of the English language.

Preferred Qualifications

Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields.
Expertise in unsupervised machine learning.
Ability to work independently and hit the ground running.

Exceptional Qualifications

Knowledge of quantum physics / quantum computing.
Ability to write patent applications.
Ability to write grant proposals

Perks & Benefits

Indefinite contract.
Equal pay guaranteed.
Variable performance bonus.
Signing bonus.
We offer work visa sponsorship (If applicable).
Relocation package (if applicable).
Private health insurance.
Flexible remuneration: hospitality and public transportation.
Eligibility for educational budget according to internal policy.
Hybrid opportunity.
Flexible working hours.
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.

Come and join our multicultural team!

5 locations

+27 languages

Key Skills

Ranked by relevance

machine learning artificial intelligence quantum computing ai natural language processing computer vision deep learning cybersecurity tensorflow python docker pandas cloud git aws

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