Multiverse Computing 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 wanting to gain an edge with quantum computing and artificial intelligence.
Our main product, Singularity, is used in blue-chip companies in finance, energy, manufacturing, cybersecurity, and many more industries.
Another product, CompactifAI, is used in Large Language Models editing.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 Senior LLM Machine Learning Scientist, 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 degree in Artificial Intelligence, Computer Science, Data Science, or related fields.5+ years industry experience in similar roles.Strong background and hands-on experience with different ML technologies, especially natural language processing and large language models.Excellent programming skills in Python and experience with relevant libraries (TensorFlow, Scikit-learn, 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.Experience with distributed multi-node, multi-GPU training of LLMs.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.Research experience in the field of LLMs.Expertise in unsupervised machine learning time series.Experience training and deploying deep learning models on the Cloud.Ability to work independently and hit the ground running.Exceptional Qualifications: Knowledge of quantum physics / quantum computing.Perks & Benefits: Indefinite contract.Equal pay guaranteed.Variable performance bonus.Signing bonus.Relocation package and visa support (if applicable).Private health insurance.Eligibility for educational budget according to internal policy.Hybrid opportunity.Flexible working hours.Language classes and discounted lunch options.#J-18808-Ljbffr