Senior ML Engineer (JoomPro/Marketing Automation)

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 looking for Senior ML developers to join our teams:

• Marketing Automation team is responsible for automating marketing and optimizing its effectiveness. We are responsible for both external marketing (advertising purchases) and internal marketing (direct communications via push notifications/emails). We provide the infrastructure and tools for effective marketing. Tech stack: Spark, Scala, Python, Airflow, Go
• JoomPro is the first and only end-to-end cross-border B2B marketplace. It serves small, medium, and large businesses, handling orders of any size from start to finish. Today, JoomPro operates in Brazil and Mexico, with plans to expand into other markets. You will focus on improving core search algorithms, enhancing the recommendation system’s understanding of user queries, and increasing the relevance of products returned for those queries. Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins

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

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