Roles

AI Researcher / Data Scientist

LLMs hold great promise but today making them reliable and improving their accuracy requires a lot of manual effort. At Log10, we are focussed on solving this challenge. We are looking for an AI Researcher / Data Scientist to help build self-improving LLM applications. You will work directly with the founders and the AI & engineering teams to make LLMs usable in many different professional scenarios.

Responsibilities

  • Develop and implement novel AI algorithms to automate improvements of LLM applications
  • Train fine-tuned and reward models based on large datasets to reflect human preferences of domain experts
  • Invent synthetic data generation algorithms to train custom evaluation models and augment human review
  • Collaborate with cross-functional teams to integrate AI solutions into our LLMOps product offerings
  • Stay updated with the latest trends and developments in LLMs, especially evaluations, prompt engineering, fine-tuning and open source models (Llama-2, Mistral, Mixtral etc.)
  • Document and present research findings and methodologies to both internal and external stakeholders

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • Proven experience in AI, machine learning, or data science, ideally with some LLM exposure
  • Strong programming skills in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
  • Solid understanding of NLP, machine learning algorithms, and statistical models
  • Excellent problem-solving and analytical skills
  • Ability to work independently in an organized manner. Strong communication and collaboration skills

Nice to have

  • Experience in logging, debugging, evaluating and fine-tuning large language models
  • Publications in relevant AI/ML conferences and journals
  • Experience with cloud computing platforms like AWS, GCP, or Azure
  • Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Experience in a startup environment or in developing end-to-end machine learning systems
  • Familiarity with version control systems like Git

We provide a competitive salary, equity, health/dental/vision insurance and the chance to develop foundational systems that will redefine how companies build AI. This is a high-impact, high-autonomy role for someone eager to take on technical ownership and leadership. If this matches your background and ambitions, we'd love to hear from you!