Research Engineer (maternity cover)

Job Description

It's an employment contract for substitution.

A hybrid work model requires 1 day a week in the office (Warsaw).

Language Intelligence is an area in which we 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 advancing the understanding of machine learning through open collaboration with the scientific community.

As a Research Engineer, your work will be related to:

• Research: Explore, identify, and implement state-of-the-art models and techniques that support Allegro customers. Conduct thorough literature reviews to find the most promising approaches for specific problems. This includes investigating and evaluating the potential of commercial LLMs (e.g., ChatGPT, Gemini) and developing innovative solutions leveraging these technologies.
• Model Development: Train, evaluate, and fine-tune machine learning models. Develop and refine prompting strategies for LLMs to optimize their performance.
• Data Analysis: Work with large datasets, ensuring data quality and developing strategies for data augmentation and improvement.
• Continuous Learning: Stay on top of the latest advancements in machine learning by reading research papers and participating in internal seminars. Prepare and deliver presentations.

We are looking for people who:

• Have a bachelor's or master's in machine learning, mathematics, computer science, statistics, or related fields
• Have proficiency in Python and some experience with Kotlin/Java
• Know the ML models lifecycle
• Have practical experience in ML-based solutions development
• Have at least basic knowledge of ML algorithms and common libraries used to deal with models (scikit-learn, PyTorch, Pandas)
• Have Experience with natural language processing (NLP)
• Have prior experience in running large-scale computation on cloud platform (GCP, AWS, or Azure)
• Have practical experience in Python microservices and libraries development as well as maintenance
• Can independently make decisions within a designated scope and take full responsibility for tasks taken, during their entire lifecycle: from requirements engineering, through implementation to deployment and maintenance
• Know SQL
• Know English at least B2 level

The following are also a plus:

• Docker
• Practical knowledge of Kubernetes-based MLOps solutions (Kubeflow) and/or MLOps solutions available in the cloud (preferably Google Cloud Vertex AI)

What we offer:

• Support from experienced Machine Learning Engineers, Research Engineers, Data Engineers, and Data Scientists
• Well-located office (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 are related to the specific nature of your job
• Macbook Pro or Dell with Windows (if you don't like Macs), and other gadgets that you may need
• Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise
• 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, MindUp (including training courses on work organization, means of communications, motivation to work, and various technologies and subject-matter issues)

This may also be of interest to you:

https://ml.allegro.tech/

Send in your CV and see why it is #dobrzetubyć (#goodtobehere)