Lucidworks is leading digital transformation for some of the world's biggest retailers, financial services firms, manufacturers, and B2B commerce organizations. We believe that the core to a great digital experience starts with search and browse. Our Deep Learning technology captures user behavior and utilizes machine learning to connect people with the products, content, and information they need. Brands including American Airlines, Lenovo, Red Hat, and Cisco Systems rely on Lucidworks' suite of products to power commerce, customer service, and workplace applications that delight customers and empower employees. Lucidworks believes in the power of diversity and inclusion to help us do our best work. We are an Equal Opportunity employer and welcome talent across a full range of backgrounds, orientation, origin, and identity in an inclusive and non-discriminatory way.

The Lucidworks Data Science Engineering team is responsible for developing our cutting-edge agentic search products, owning them from research all the way out to production. In addition, our team works with almost every other team in the company to power the search technologies behind Lucidworks Search at billion-query level scale.

We collaborate with consultants and customers to learn user needs, gather data, design and prototype solutions, as well as validate preliminary results. We continuously explore new AI technologies, and join industry best practices with the latest ideas from academia to turn them into useful products.

Our research areas include embedding models, hybrid search, LLMs, recommender systems, query understanding, classification, all in both text and multimodal forms.

As an Associate Machine Learning Engineer, you’ll have the opportunity to apply foundational AI concepts in a hands-on, production environment. In this role, you’ll work on projects that bring theory into practice, contributing to systems that impact real users while receiving feedback and mentorship to support your growth.

You’ll gain experience with areas such as large language models (LLMs), search relevance, and natural language processing (NLP) challenges, while also exploring the applications of generative AI in search and information retrieval. Your work will include implementing algorithms from documentation and examples, modifying and extending existing code, writing tests, and interpreting results with guidance from senior engineers.

This is a highly collaborative role, where you’ll engage with a diverse, distributed team across multiple time zones. You’ll be encouraged to ask questions, share ideas, and learn continuously as you develop your technical and professional skills.