Junior Research Engineer (e-Xperience Associate)
Warsaw, Poland
Job Description
What does this role involve
You will become part of the research-oriented project, aiming for open-source ML community contribution and ML conference publication. A hybrid work model guided by goals from the Research Proposal developed during the hiring process. The position is a 6-month, full-time contract with flexible working hours, aimed at those pursuing academic degrees like a master's, or beginning a PhD.
We are looking for people who:
Have practical experience with Deep Learning and Big Data
Have critical thinking skills and a theoretical understanding of ML
Know the methodology of conducting scientific research
Know Python and data visualization libraries at the advanced level
Know common ML libraries (torch, transformers, pandas, numpy)
Know English at B2+ level and can present results in verbal and written form
The following are also a plus:
Experience with cloud platforms (GCP, AWS, or Azure)
Hands-on experience with LLMs: prompt engineering, model evaluation
What we offer:
A hybrid work model that you will agree on with your leader and the team. We have well-located office (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)
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
The necessary tools for work
Working in a team you can always count on — we have on board top-class specialists and experts to learn from
Hackathons and an internal educational platform, MindUp (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues)
Why is it worth working with us?
Cooperation with industry researchers with a strong publication track record, deploying ML models at an unprecedented scale anywhere else in Poland
Access to massive one-of-a-kind, text and image e-commerce datasets
Access to required compute and commercial LLMs from Google and Microsoft
While working on a problem, you will conduct literature reviews and discuss findings with other team members during internal seminars
Research domains you may explore:
Product Findability:
Product retrieval and listing reranking: multi-vector semantic search, robust text/image representation, object detection and segmentation, user personalization
Optimization of data-processing and monitoring tools for the online large-scale recommendation system: developing novel methods utilizing ML approach
LLM agents for product search: query understanding, raw data annotation, item comparison, automatic knowledge graph generation
Natural language processing:
LLM investigations: domain adaptation, cross-lingual transfer, performance optimization, information extraction, synthetic data generation
LLM agents for internationalization: MT quality evaluation, context-aware translation, localized recommendation (all for CEE languages)
Do you want to get to know us better?
Check our Blog: https://ml.allegro.tech/
Listen to: Allegro Tech Podcast
Send in your CV, join the e-Xperience and see why it is #dobrzetubyć (#goodtobehere)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Data visualization Deep Learning E-commerce Engineering GCP LLMs Machine Learning ML models NLP NumPy Open Source Pandas PhD Prompt engineering Python Research Transformers
Perks/benefits: Career development Flex hours Lunch / meals
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