Mid/Senior Data Scientist (NLP and Computer Vision), Production Engineering

NOTICE: ONLINE RECRUITMENT PROCESS

LOCATION: REMOTELY FROM POLAND

SALARY: 17 500 - 35 000 PLN gross/monthly

ROLE OVERVIEW 

The AI Department represents a major investment toward implementing an AI-powered Predictive Intervention platform. The platform will enable every student to receive tailored recommendations satisfying their current and future educational needs and provide successful and specific learning paths.

In order to get there, we are building the fundamental pillars of our AI strategy by having dedicated teams owning different systems of our technology portfolio and in particular we are heavily investing in natural language processing technologies.

The Answer Platform ML team’s vision is to build the necessary systems to provide accurate, high-quality, and tailored answers to all the questions our users face in their daily educational journey.

The team is responsible for providing the machine learning capabilities to:

• Route textual questions and educational content to the appropriate service that provides the best answers.

• Increase the coverage of answers our users are provided with.

• Actively contribute to the answering services and individual components that build up our answering and search platform.

• Improve and introduce new functionalities to classify images and extract visual information to improve retrieval precision and personalize the answering results.

• Deploy, maintain, and own the models in production.

This is a highly technical individual contributor role where you will work alongside a technical lead and other individual contributors within the team. The team consists of 2 Machine Learning Engineers and 2 Data Scientists, and you will be contributing heavily to the data science capabilities of our answering platform and state-of-the-art NLP algorithms and LLMs using Python, HuggingFace transformers, PyTorch, Sagemaker, and other AWS cloud services. You will have partial ownership of the development of the models developed by the team. In contrast, the team at large has full ownership of all aspects of the model development lifecycle, from initial EDA to deployment and in-production monitoring.

You will also work closely with other teams to integrate and facilitate the consumption of the deployed models. In Brainly, individual contributors are also expected to contribute to their team’s project scoping and actively partake in stakeholder management, and communication. 

The ideal candidate is an enthusiast of educational technologies with a product-oriented Data Science & Machine Learning background.

Are you able to work fast, with short feedback loops and in close collaboration with other team members and multiple external stakeholders? Do you have strong analytical thinking - ability to explore data and draw conclusions? Do you have capability to solve problems in an unconventional manner and not getting stuck at obstacles? Do you have a scientific mentality with the ability to ask the right questions and answer them? Are you able to develop, own, and maintain production services, exposing models to various consumers? Are you able to convey complex analyses with the most efficient and intuitive visual interactions and data storytelling? Are you able to stay up to date with the latest academic research and to implement state-of-the-art methods? Do you have hands-on approach and clear communications skills? Are you familiar with agile development and lean principles.? If you answered yes to these questions, you might just be the perfect candidate for this role!

WHAT YOU'LL DO

• Researching and implementing novel techniques of text classification and text generation using modern approaches like LLMs.

• Exploring and analyzing multi-dimensional and unstructured data in order to find patterns and relationships.

• Working closely with the engineers in order to integrate models and algorithms with the larger system.

• Contributing to the definition of the team roadmap and deliverables.

• Effectively communicating results to direct stakeholders and the company at large.

• Working closely with product teams to design new features or improve the functionalities and user experience of the platform.

• Ensuring statistical and scientific rigor among the whole team.

REQUIRED

• 3+ years experience with Deep Learning models for NLP or text analytics and/or similar experience in Computer Vision in production, or a comparable industry career, with machine learning, data mining, or statistical modeling.