Hybrid / Mainz
Full Time
Product & Data Science

Doctoral Fellow in Large Language Models

We are seeking a highly motivated and talented doctoral fellow on large language models (LLMs) to join Predict42 - a leading AI company on feedback analytics. The ideal candidate will report to Machine Learning Research Lead and have a strong background in computer science, machine learning, and natural language processing (NLP). They will be passionate about using LLMs to solve real-world problems and conduct applied and domain driven research.

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  • Conduct research on LLMs, focusing on (1) Improving the performance and efficiency of LLMs, (2) Applying LLMs to new tasks and domains, and (3) Mitigating the risks and biases associated with LLMs
  • Apply research in the early stages of our product development
  • Publish research findings in top academic conferences and journals
  • Collaborate with other researchers at our partnering universities and our engineers


  • Master's degree in computer science, machine learning, NLP, or a related field
  • Excellent programming skills in Python and/or other relevant programming languages
  • Strong understanding of ML and NLP fundamentals
  • Experience with large-scale data processing and machine learning frameworks
  • Experience with conducting research and publishing papers in top academic conferences and journals
  • Excellent communication and interpersonal skills

Bonus Points

  • Experience with LLMs
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP)
  • Experience with continuous integration and continuous delivery (CI/CD) pipelines

Perks & Benefits

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EARN: Salary + Equity
We foster an entrepreneurial culture by offering a virtual stock option program.
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FLEXIBILITY: Hybrid work
we offer mix of remote and on-premise work, combining the best of both worlds
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GROW: Research Time
all employees have blocked research time per week at their disposal.
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PLAN: Pension Plan
we subsidize up to 20% of you pension plan / direct insurance via salary conversion
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we care and support you, if you go through a difficult time at some point in your life.
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BOND: Team Building
we organize different team events, including a super exciting offsite each year.
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Apply now.

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