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:

1. Product retrieval and listing reranking: multi-vector semantic search, robust text/image representation, object detection and segmentation, user personalization

2. Optimization of data-processing and monitoring tools for the online large-scale recommendation system: developing novel methods utilizing ML approach

3. LLM agents for product search: query understanding, raw data annotation, item comparison, automatic knowledge graph generation

Natural language processing:

1. LLM investigations: domain adaptation, cross-lingual transfer, performance optimization, information extraction, synthetic data generation

2. 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)