Research Engineer, Applied AI
Skills
Computer ScienceData ScienceDeep LearningLanguage ModelingLarge Language ModelsPattern RecognitionDense Vector Search
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- A Master's/PhD degree in Computer Science, Machine Learning, Mathematics, Statistics or a related field
- A detailed understanding of machine learning, deep learning (including LLMs) and natural language processing
- Hands-on experience in training, fine-tuning and deploying large language models
- Prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases
- Significant experience building evaluation systems for LLMs or search
- Familiarity with various information retrieval techniques, such as lexical search and dense vector search
- The ability to work effectively in a fast environment where things are sometimes loosely defined
Nice to have
- Machine Learning knowledge
- Deep Learning skills
- Natural Language Processing
- Hands-on experience with LLMs
- Vector databases experience
- Search and retrieval expertise
- Evaluation systems background
- Information retrieval techniques understanding
- Adaptability
- Willingness to learn
Day to day
- Work directly with the founding team and our software engineers
- Work on and do research in state-of-the-art retrieval and search techniques
- Work on and deploy machine learning models as part of RAG
- Continuously improve our quality evaluation frameworks to enable robust iteration
- Keep up with the latest developments in the space and see how they can be applied
- Design and run experiments