Junior Research Engineer, Product Intelligence
Allegro
full-time
Posted on:
Location Type: Office
Location: Warsaw • 🇵🇱 Poland
Visit company websiteJob Level
Junior
Tech Stack
AzureGoogle Cloud PlatformPandasPythonPyTorchSQL
About the role
- Research: Explore and implement state-of-the-art NLP techniques for attribute extraction, entity linking, and semantic product understanding.
- Conduct hands-on research to extract and create a structured Product Knowledge Graph that links products (e.g., variants, alternatives, complements) to enable human-level expert advice.
- Model Development: Train, fine-tune, and evaluate deep learning models (such as LLMs) for specific tasks.
- Develop advanced prompting strategies for LLMs to handle complex reasoning tasks utilizing Agentic approaches.
- Data Analysis: Work with large-scale, multimodal datasets (text, images, user signals) to enrich the product catalog with semantic and behavioral metadata (e.g., "used for camping," "compatible with X").
- Collaboration: Work closely with software engineering teams to integrate your models into the "Factory Robots" architecture and ensure reliable production deployment.
- Continuous Learning: Monitor the rapidly evolving landscape of Generative AI and Agentic Systems (e.g., autonomous agents, tool use) and propose how to apply these advancements to Allegro's ecosystem.
- Quality Focus: Contribute to the development of automatic quality estimation frameworks to ensure our AI Assistant provides safe, accurate and helpful advice.
Requirements
- Bachelor’s or Master's degree in Computer Science, Computational Linguistics, Artificial Intelligence or a related field. (Strong candidates nearing completion of their degree will also be considered).
- Solid understanding of machine learning fundamentals, particularly in Natural Language Processing (NLP) and Generative AI.
- Programming proficiency in Python and experience with SQL.
- Experience with ML frameworks (e.g. PyTorch, transformers, pandas).
- Demonstrated experience with Prompt Engineering and interacting with Large Language Models (LLMs).
- Learning Agility and AI Literacy: Ability to quickly adapt to new technologies and apply AI concepts to practical problems.
- Strong analytical and problem-solving skills.
- English proficiency (B2+ level).
Benefits
- Working in a team you can always count on, we have on board top-class specialists and experts: Research Engineers, Machine Learning Engineers, and Data Scientists.
- Well-located office in Warsaw (with fully equipped kitchens and bicycle parking facilities).
- Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results).
- A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g. medical, sports or lunch packages, insurance, purchase vouchers).
- English classes that we pay for, related to the specific nature of your job.
- High-performance laptop (Macbook Pro Family), with all accessories that you may need, full Google Workspace with permissible access to AI tools like: Gemini and also Copilot for AI assisted coding
- A high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new things.
- Hackathons, team tourism, training budget and an internal educational platform (including training courses on work organization, motivation and various technologies).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Natural Language ProcessingGenerative AIMachine LearningDeep LearningPrompt EngineeringPythonSQLPyTorchTransformersPandas
Soft skills
Learning AgilityAI LiteracyAnalytical SkillsProblem-Solving SkillsCollaboration
Certifications
Bachelor’s degree in Computer ScienceMaster's degree in Computer ScienceBachelor’s degree in Computational LinguisticsMaster's degree in Computational LinguisticsBachelor’s degree in Artificial IntelligenceMaster's degree in Artificial Intelligence