ML/AI Tech Lead (Search team)

Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world.

Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.

We are currently looking for the ML/AI Tech Lead to join the Search team. You will be responsible for improving core search algorithms, including advancing the system’s understanding of user queries and increasing the relevance of results. The role also involves designing and developing new features aimed at enhancing the overall search experience.

Key focus areas

Driving the application of modern AI/ML models to improve search relevance (a major strategic direction)

Integrating AI-driven features into user flows, from prototyping to production-grade solutions

Embedding AI capabilities into product experiences to improve both efficiency and user satisfaction

Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins

Our engineers are responsible not only for data analysis, hypothesis creation, modeling, and experimentation, but also for writing production code capable of handling high loads.

Responsibilities

Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries

Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code

Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production

Participate in new feature and product development discussions

Managing and mentoring an ML team of 3-5 engineers

Preferred

Experience in developing recommendation or search systems

Experience training neural network models

Experience working with various data sources: Spark, Cassandra, Mongo, Kafka

Knowledge of Go

We offer

Compensation package: base salary and performance-based bonuses

Office-first: flexible hours with a possibility to work remotely 52 days per year

Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave

Relocation Support: full assistance for a smooth relocation for the employees and their family

Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses

Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work

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