About the role
Responsibilities:
- Design, build, and optimise scalable machine learning infrastructure to support training/fine-tuning, evaluation, and deployment of LLMs and their applications.
- Leverage LLMs to develop multi-turn, multi-hop conversational search systems and products.
- Craft new machine learning features and optimise existing ones to enhance quality metrics to meet the product requirements.
- Research and productionise next-gen search platforms using RAG (Retrieval Augmented Generation) architecture.
- Optimise system performance of retrieval, ranking, reasoning, and generation modules.
- Develop tools, processes, and metrics to measure and monitor the system performance and quality.
- Collaborate with cross-functional teams from machine learning, engineering, data analytics, product management, and go-to-market to build new products and/or features.
Requirements:
- A builder mentality.
- 10+ years of hands-on software engineering experience in building and scaling machine learning-based search, recommendation, or social network products or their supporting platforms.
- Effective communication skills with experience collaborating cross-functionally.
- A BS/MS/PhD in computer science or related fields.
- Experience in NLP or information retrieval-related fields.