ML Engineer

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 Lead/Senior ML developers to join our teams:

- Search team (Lead): will work on improving the core search algorithms, enhancing the system's understanding of user queries and the relevance of products shown in response to searches; developing new functionality to improve the user experience

- Order Experience team (Senior): developing AI/ML support: specifically, answering user questions using the full context of their orders, profile, transactions, and actions within the service, along with automating refunds

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

• 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
• 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

• 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
• AI-first approach: licenses and access to a wide range of AI tools
• 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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