.Multiverse ComputingMultiverse is a well-funded and fast-growing deep-tech company founded in 2019.
We are the biggest Quantum Software company in the EU and 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 is a groundbreaking compressing tool of foundational models that uses Tensor Networks to 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.We are seeking a skilled and experienced Machine Learning Engineer with a strong background in Large Language Models to join our team.
You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies.
Tackle high-value open problems from industry and collaborate with quantum experts to design and implement new machine learning models.Required QualificationsDegree, Master's or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Data Science, or related fields.1+ years of hands-on experience with deep learning models and industry experience (ideally at Amazon or in a startup).Strong background and hands-on experience with different ML technologies, especially natural language processing and large language models.Proven experience with Yolo, Llama, Claude, Mistral, or Falcon is a huge plus.Excellent problem-solving, debugging, performance analysis, test design, and documentation skills.Strong understanding of the fundamentals of GPU architectures.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, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively.Previous research publications in deep learning is a plus.Fluent in English.Preferred QualificationsPh.D.
in Artificial Intelligence, Computer Science, Data Science, or related fields with research experience in LLMs.Expertise in unsupervised machine learning time series.Experience training and deploying deep learning models on the Cloud