Allegro
Junior Research Engineer (e-Xperience Associate)
Job Description
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.
Embark on a dynamic journey with Allegro’s talent Program, e-Xperience 2024, spanning from September 1st, 2024, to February 28th, 2025.
Are you ready to kickstart your career? Apply now and seize the chance to shape the future of e-commerce!
We are looking for people who:
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Have practical experience with Deep Learning and Big Data
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Have critical thinking skills and a theoretical understanding of ML
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Know the methodology of conducting scientific research
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Know Python and data visualization libraries at the advanced level
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Know common ML libraries (torch, transformers, pandas, numpy)
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Know English at B2+ level and can present results in verbal and written form
The following are also a plus:
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Experience with cloud platforms (GCP, AWS, or Azure)
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Hands-on experience with LLMs: prompt engineering, model evaluation
What we offer:
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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)
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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)
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English classes that we pay for related to the specific nature of your job
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The necessary tools for work
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Working in a team you can always count on — we have on board top-class specialists and experts to learn from
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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?
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Cooperation with industry researchers with a strong publication track record, deploying ML models at an unprecedented scale anywhere else in Poland
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Access to massive one-of-a-kind, text and image e-commerce datasets
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Access to required compute and commercial LLMs from Google and Microsoft
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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:
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Product retrieval and listing reranking: multi-vector semantic search, robust text/image representation, object detection and segmentation, user personalization
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Optimization of data-processing and monitoring tools for the online large-scale recommendation system: developing novel methods utilizing ML approach
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LLM agents for product search: query understanding, raw data annotation, item comparison, automatic knowledge graph generation
Natural language processing:
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LLM investigations: domain adaptation, cross-lingual transfer, performance optimization, information extraction, synthetic data generation
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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)
