Job Description:
We're transforming workplace wellbeing through a blend of technology and human expertise.
Our mobile platform provides 24/7 support from a dedicated team, offering real-time assistance in critical situations.
By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future.
A Groundbreaking Opportunity
As an Applied Machine Learning Scientist/Engineer, you'll focus on LLM Research & Fine-Tuning Engineering. This is a chance for a PhD-level candidate to apply deep academic knowledge to a mission-driven environment.
This role differs from typical AI tooling or RAG-based roles. We require hands-on expertise with the internal workings of large language models.
* Research, fine-tune, and optimise open-source LLMs using techniques such as PEFT, LoRA, and QLoRA.
* Contribute to the design and implementation of personalisation and recommendation engines.
* Develop and maintain robust machine learning pipelines for model training, evaluation, and deployment.
* Collaborate closely with cross-functional teams to translate research into effective product features.
* Stay current with the latest advancements in AI and LLM research.
Required Skills and Qualifications:
* A recently completed PhD or Postdoctoral experience in Machine Learning, AI, Computer Science, or a closely related quantitative field.
* Deep theoretical and practical understanding of Transformer architectures, attention mechanisms, and training dynamics.
* Hands-on experience fine-tuning open-source LLMs.
* Strong computer science fundamentals and coding proficiency in Python.
* Solid experience with deep learning frameworks.
Benefits:
We offer a dynamic, supportive environment where you can grow as a leader while making a tangible impact on people's lives.