Machine Learning Research Scientist - LLM

  • $170000 - $220000 per annum, Benefits: + Generous Benefits
  • United States, Los Angeles, US

 Machine Learning Research Scientist required with a mix of skills in ML software product research and new tool development combined with strong software engineering skills across Python backend systems and deep learning  (TensorFlow OR Keras OR PyTorch) and some NLM / Data Mining / LLM, ideally combined with skills in full stack development is required by highly respected and award-winning professional services firm to working in a small high profile team focused on systems research and build of LLM tools to process high volumes of complex text and documents.
 
This is a chance to join a small entrepreneurial scientific research team of three people, taking a lead on the primary development of the tools and contributing to the architecture.
 
Salary Circa $170-220k Base + Benefits (medical, Dental, Life Assurance, disability cover, 401(k) and Profit Sharing Plan, paid holidays)
 
The office is based in Los Angeles. Applicants must live in California and can be hybrid or predominantly remote, with some time in the office. 
 
Critical skills for the role of Machine Learning Research Scientist will include the majority of   

  • Strong data-centric software development skills in Python and back end systems
  • Deep Learning Frameworks TensorFlow OR Keras OR PyTorch
  • Product research and developing tools for NLM / LLM  / Deep Learning Systems
  • Ideally, experience in processing large volumes of text/documents.
  • A self-starter who is used to working independently, planning, and running research projects
  • Strong entrepreneurial spirit and someone who will work well in a small team on a diverse range of activities
  • Ranking and testing early tools/innovations
  • Proven skills in Python backend systems engineering / and, ideally, JavaScript / HTML front-end capabilities or an interest
  • Experience in CI / CD and software development practices
  • An interest in solving complex business systems with data systems
  • Top tier US University degree or master’s in Computer Science / CS (such as UCLA, Harvey Mudd, Berkeley, USC, Stanford, MIT, Yale, Carnegie, Caltech, Princeton etc)
  • The role will involve working on various activities, including the research, planning, and development of complex data systems and full-stack systems development to empower complex business areas that process large volumes text/documentation

We are looking for an ML Research Scientist who is fascinated by what it takes to use emerging techniques to solve real business problems today and be hands-on in developing cutting-edge data systems tech into production.
 
This role might suit a recent graduate with relevant commercial experience or a more experienced engineer, as it’s a new role.
 
This diverse firm offers stability, a great culture, and a focus on innovation. It may suit someone looking to work in a respected, innovative, and perhaps more stable environment than tech firms.
 
Opus Resourcing acts as an employment agency for permanent employment.
 
 
 

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    Advertised by:

    James Shenton

    Managing Consultant - Technology

    James Shenton

    James Shenton a co-founder & Managing Consultant at Opus Resourcing who has 29 years’ hands on technology recruitment experience, and his work has included delivering on long term preferred supplier relationships for companies such as YOOX-NET-A-PORTER, Sky, Betfair, Apple Europe, Ericsson, 3 Mobile.

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