Lucidworks is looking to solve the business and technical problem of developing cutting-edge agentic search products, owning them from research to production, and powering search technologies behind Lucidworks Search at billion-query level scale.
Requirements
- Strong programming fundamentals in Python
- Familiarity with common data science libraries such as pandas, numpy, and transformers/sentence-transformers
- Basic exposure to large language models through coursework, tutorials, or personal projects
- Basic understanding of PyTorch
- Basic understanding of microservices concepts and containerization (Docker knowledge preferred)
- Eagerness to learn cloud technologies and production AI systems
- Experience with version control (Git) is a plus
Responsibilities
- Learn and assist in assessing models and understanding model selection for different use cases
- Support experiments and evaluation for search-specific tasks
- Contribute to integrating pre-trained language and embedding models into search, agentic, and recommendation pipelines
- Support the development of automated model training, assessment, and deployment processes
- Contribute to software and tooling that improves automation and service reliability
- Stay current on AI best practices and share learnings with the team
- Participate in design discussions and contribute fresh perspectives
Other
- 0-2 years of professional experience OR relevant internship/project experience
- Bachelor's degree in Computer Science, Data Science, Mathematics, or related field (or equivalent experience)
- Collaborate with software team members in a fast-paced Agile environment
- Grow your skills while working effectively with distributed teams
- Acceptable background check
