Senior ML Engineer
Primary stack
Nice to have's
Job description
About the Position
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.
We are looking for Senior ML Engineers to join our teams in Lisbon, PT:
- Search team (Lead/Senior): 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): Develop 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.
- JoomPro (Middle+/Senior): B2B project. Platform that automates wholesale cross-border purchasing. We build and automate the full supply cycle: product selection, quality control procedures, delivery, customs clearance, and obtaining the necessary certificates. Team works on core search algorithms, improves recommendation systems based on user intent, enhances product discovery and contributes to the end-to-end customer experience.
Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins
Responsibilities
- Develop and improve core search algorithms.
- Enhance the system's understanding of user queries and product relevance.
- Develop new functionality to improve the user experience.
- Develop AI/ML support for answering user questions using the full context of their orders, profile, transactions, and actions within the service.
- Automate refunds.
- Improve recommendation systems based on user intent.
- Enhance product discovery.
- Contribute to the end-to-end customer experience.
Requirements
- 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.
Nice to Have
- 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.
- 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 teamwork.
Before applying for the above position please review our Candidate Privacy Notice here. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
About the Company
Joom is one of the key businesses of Joom Group, an international group of tech-centric e-commerce companies founded in 2016 in Latvia. 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.
© Joom. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
E-commerce