Job Title
Our company is seeking an Applied Machine Learning Scientist/Engineer to join its team.
The successful candidate will be responsible for researching, fine-tuning, and optimising open-source large language models (LLMs) using techniques such as PEFT, LoRA, and QLoRA.
Key responsibilities include:
* Researching and fine-tuning open-source LLMs to build proprietary AI models
* Designing and implementing personalisation and recommendation engines
* Developing and maintaining machine learning pipelines for model training, evaluation, and deployment
The ideal candidate should have a recently completed PhD or Postdoctoral experience in Machine Learning, AI, Computer Science, or related field.
A deep understanding of Transformer architectures, attention mechanisms, and training dynamics is necessary.
Hands-on experience fine-tuning open-source LLMs is required. Strong CS fundamentals and Python proficiency are expected.
A passion for applying AI to high-impact domains such as mental health and well-being is essential.
Benefits include a flexible working environment, free access to the Sonder app, development budget, employee share option plan, wellbeing stipend, and annual allocations for wellbeing activities.