Lead/Senior ML developer
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Joom is a platform for shopping from all over the world. 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
- centric group of
- commerce companies founded in 2016 in Latvia. Joom also includes other businesses: Joom
Pro, the first
-
- end
- border B2B marketplace, with successful operations in Brazil and plans to expand to other markets; Joom
Pulse, a data platform that provides analytics and recommendations for marketplace 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 Lead and Senior ML developers to join:
- Market Intelligence team: working with product content and assortment, comparing products, improving product description translations, and identifying promising products and market segments.
- Search team: enhancing core search algorithms, improving both user query understanding and product relevance, developing new features to improve user experience.
The role involves not only data analysis, hypothesis creation, modeling, and experimentation, but also 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,
- 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 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 are offering
- Compensation package: base salary and
- 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,
- sharing workshops, and a strong sense of team work
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Empresa: GrabJobs Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 18. 6. 2025
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