• Research Engineer - Machine Learning Warsaw
  • Allegro in Warsaw, , Poland
  • jobs
  • 3 weeks ago

jobs description

Job DescriptionMachine Learning Research is Allegro’s R&D lab created to develop and apply state-of-the-art machine learning methods, helping Allegro grow and innovate with artificial intelligence. Beyond bringing AI to production, we are committed to advance the understanding of machine learning through open collaboration with the scientific community.Why is it worth working with us?Being a part of Machine Learning Research team, you will be responsible for bringing to production research solutions for AllegroWhile working on a new problem, you will explore it in depth and conduct literature review, looking for the most promising techniques for a given problemYou will be responsible for the preparation of the production-grade machine learning models, supporting the development team for a correctly functioning production model and meeting technical and performance requirementsYou will support other teams in the implementation of tasks requiring the use of ML models. Your support will... be needed both at the technical (e.g., what architecture will be appropriate for the domain) and best-practices level (e.g., building data sets, modeling, metrics, implementation of the ML-based solutions to the production) To apply state-of-the-art solutions, you will stay up to date with the scientific progress. You will deepen your knowledge by reading the latest papers in your domain, sharing the knowledge with other team members of the research teams operating in Allegro. You will participate in scientific conferences, visiting venues where the latest discoveries are presentedYou will have the possibility to share the results of your research in the scientific community, and by taking part in the scientific conferences (oral presentations, poster sessions). You will develop your scientific career, as well as Allegro's presence in the science communityIn your daily work you will expand your knowledge by cooperating with people who have hands-on experience in implementation of the ML models at scale unprecedented anywhere else in PolandWhat we offer:A hybrid work model that you will agree on with your leader and the team. We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms)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 jobWorking in a team you can always count on — we have on board top-class specialists and experts in their areas of expertiseA high degree of autonomy in terms of organizing your team’s work; we encourage you to develop continuously and try out new thingsHackathons, team tourism, training budget 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)If you want to learn more, check it outWe are looking for people who:Have a master's or PhD in machine learning, mathematics, computer science, statistics or related fieldsHave a good knowledge of deep learning techniques (neural networks, contrastive learning, semi-supervised learning) in at least one domain (information retrieval, natural language generation or understanding, etc.)Know the methodology of conducting scientific research and the use of iterative process of conducting experimentsHave experience in working with real data that deviate from the standard, well-developed collections used in researchKnow Python and libraries necessary to work with model development (PyTorch, Tensorflow, Transformers, Pandas, Numpy, etc.) Bonus points for prior experience in running large-scale computation on cloud platform (GCP, AWS or Azure) Bonus points for prior experience in using LLMs for synthetic data generation/solving business problems This may also be of interest to you: https://ml.allegro.tech/ Send in your CV and see why it is #dobrzetubyć (#goodtobehere
Warsaw Poland


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