Senior LLM Machine Learning Researcher
hace 4 días
About Us
Multiverse Computing LLC is a fast-growing deep-tech company founded in 2019. We are a leading Quantum Software company in the EU and one of the 100 most promising companies in AI in the world. Our team of experts provides hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence.
Our Products
We offer two main products: Singularity, used in blue-chip companies in finance, energy, manufacturing, cybersecurity, and many more industries, and CompactifAI, used in Large Language Models editing.
Role Overview
We are seeking a Senior LLM Machine Learning Researcher to join our world-class team of Quantum experts. As a Senior LLM Machine Learning Researcher, you will work alongside leading experts to build solutions that tackle real-life issues.
Key Responsibilities
- Collaborate with quantum experts to design and implement new machine learning models.
- Work with Fortune-500 customers from government and private sectors.
- Tackle high-value open problems from industry.
- Develop and deploy deep learning models on the Cloud.
Requirements
- 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, Pandas, etc.).
- Experience using git, unit testing, and docker.
- Experience with cloud platforms (ideally AWS).
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.
- Ability to work independently and hit the ground running.
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.
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