Senior LLM Machine Learning Expert

hace 1 mes


Madrid, Madrid, España Multiverse Computing Llc A tiempo completo

Unlock Your Potential as a Senior LLM Machine Learning Expert at Multiverse Computing LLC.

About Us

Multiverse Computing LLC is a leading deep-tech company that specializes in developing hyper-efficient software solutions for businesses leveraging quantum computing and artificial intelligence. With a strong presence in the EU and recognition as one of the 100 most promising companies in AI worldwide, we're committed to fostering an inclusive culture that promotes sustainability and diversity.

Salary Information

We offer a competitive salary range between $120,000 and $180,000 per annum, commensurate with experience, reflecting our commitment to attracting top talent in the industry.

About the Role

As a Senior LLM Machine Learning Expert, you'll be part of a world-class team dedicated to designing and implementing innovative machine learning models. Your responsibilities will include:

  • Collaborating with Fortune-500 customers from government and private sectors to develop high-value open problems from industry.
  • Working alongside experienced quantum experts to design and implement new machine learning models.
  • Tackling complex challenges in natural language processing and large language models.
Required Qualifications

To succeed in this role, you'll need:

  • A Master's degree in Artificial Intelligence, Computer Science, Data Science, or related fields.
  • 5+ years of industry experience in similar roles, with a strong background in ML technologies, especially NLP and LLMs.
  • Excellent programming skills in Python and experience with relevant libraries (TensorFlow, Scikit, Pandas, etc.).
  • Experience using git, unit testing, and docker.
  • Cloud platform expertise (ideally AWS).
Benefits and Perks

You'll enjoy a comprehensive package, including:

  • 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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