Tech Lead with NLP
Cluj-Napoca, Romania
2 zile în urmă
source : Just Join IT

Natural Language Processing (advanced)

Deep Learning (advanced)

PyData (advanced)

Machine Learning (advanced)

There are more than 350 million reasons to join Brainly one for every student you’ll help go from questioning to understanding.

Team up with us as we build and continue improving one of the most popular ed-tech products on the planet. In a world of questions and uncertainty, you can be part of the answer as we shape the future of learning and change lives, one student at a time.

If this excites you, you know what to do next.

Let’s get to know each other. And get ready to make a difference !


The AI Services department represents a major investment toward the vision of 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 Content Quality Systems team ’ vision is to transform Brainly’s knowledge base into a selection of high-quality educational contents.

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

  • Learn new knowledge representations for text and media-rich contents related to their validity and correctness
  • Enhance and automate the content management process
  • Ensure the quality and safety of Brainly’s knowledge base
  • This is a Tech Lead role where you will act as technical partner to the team manager. You will lead a team of world-class scientists and engineers driving the data science capabilities of our knowledge base and state-of-the-art NLP algorithms on top of the PyData stack, HuggingFace, PyTorch, Tensorflow, Sagemaker and other AWS cloud services.

    The ideal candidate is an enthusiast of educational technologies with a product-oriented data science background and a blend of leadership, machine learning, and statistics skillset.

    Technical Leadership

  • Be responsible for making technical decisions in the scope of the team work.
  • Guide the team in technical decisions and be accountable for them.
  • Coordinate the work breakdown, sprint-level planning, and day-to-day team operations.
  • Lead by example, showing how to get things done and being among the top contributors of the team.
  • Technical mentoring and reviews (code and analysis).
  • Research & Development

  • Research and implement novel techniques of language understanding, knowledge representation, text classification, and text generation.
  • Explore and analyze multi-dimensional and unstructured data in order to find patterns and relationships.
  • Develop probabilistic models of linguistics and social interactions sitting on top of our machine learning stack.
  • Effectively communicate results and storytelling with the data.
  • Ensure statistical and scientific rigor among the whole team.
  • Project Management

  • Design systems, architectures, methodologies, and define technical and research specifications.
  • Contribute to the definition of the team roadmap and deliverables.
  • Plan and estimate technical capacity and efforts required.
  • Responsible for the technical success and quality of the team deliverables.
  • Relationship development

  • Support the project manager on collecting requirements and feedbacks as well as aligning multiple technology and product teams, business and management stakeholders on the ML systems owned by the team.
  • Collaborates with team, other tech leads, and the management to develop process, policy, protocols, and solutions related to best practices or common issues.
  • Educate Brainly employees on the topics related to Data Science & Machine Learning and the importance of high-quality contents.

  • Bachelor’s degree or above in STEM fields (science, technology, engineering, or mathematics) or a similarly quantitative field.
  • Deep knowledge and understanding of theoretical foundations of classical Machine Learning (Bayesian statistics, Linear regression, Logistic Regression, Dimensionality Reduction, Clustering), strong theoretical background in classic Natural Language Processing (Text Processing, Tokenization, POS, Feature Extraction, Statistical Modeling) and Deep Learning architectures for tasks such as text classification, sentiment analysis, topic modeling, named entity recognition, translation, sentence embedding.
  • 6+ years experience, or a comparable industry career, with machine learning, data mining, or statistical modeling .
  • 4+ years experience with Deep Learning models for NLP or text analytics in production (ability to prototype and test suboptimal solutions quickly and iterate up to a final product that can be deployed).
  • Working knowledge of Python and the PyData stack or other numerical programming languages.
  • Machine Learning technologies such as : Tensorflow or PyTorch, AWS Sagemaker, scikit-learn, HuggingFace, spaCy, NLTK, Spark NLP .
  • Distributed computing systems such as Spark, dash, Ray.
  • Data analysis and visualization tools such as pandas, cudf, matplotlib or streamlit, plotly, dash, bokeh, shap and ability to convey complex analyses with the most efficient and intuitive visual interactions and data storytelling.
  • Proficiency with Docker containers , experience with SQL and relational databases.
  • Ability to understand and code from the latest state-of-the-art research papers .
  • A scientific mentality with the ability to ask the right questions, as well as answer them, ability to break research down into clearly defined tasks and quick iterations.
  • Proven technical leadership of complex data science teams or machine learning projects involving multiple roles and / or teams (hands-on tech leader attitude and clear communications skills, familiar with agile development and lean principles).
  • A track record of attracting and retaining world-class AI talents you can demonstrate that you are someone with whom engineers want to work with, who has a deep appreciation for understanding team growth and you can share this passion to motivate the team and the wider organization.

  • We want to see you grow along with us you will have 800$ per year for personal development, extra time for attending conferences and workshops, and unlimited access to an online learning platform (courses from Coursera, Udacity, Udemy, Harvard ManageMentor, and many others!)
  • Health is important, which is why at Brainly, we fully cover private health & dental care packages for you and your family and provide you with a sport card (Multisport Plus in Poland, Andjoy in Spain)
  • You will also get an access to online individual psychological consultations with professionals in English & Polish via the Mental Health Helpline
  • Flexible working hours working requires communication, so we work within the European business hours, but we also know that life may be unpredictable, so if you need to jump out of work (doctor’s appointment, emergency, anything) no problem!
  • Your personal concierge AskHenry will support you in your daily duties, eg. planning your dream vacation
  • We will provide you with all the necessary equipment & tools , including an additional budget for accessories which will make your remote setup even more comfortable.
  • You can join internal communities and contribute to charity, diversity and inclusion initiatives, take part in great internal events or represent Brainly at conferences or meet-ups.

    Brainly is the online learning platform where over 350 million students and parents go from questioning to understanding.

    With their smartphones, users can snap a photo to instantly solve any problem or homework question and be matched with a Brainly product such as Community Q&A, Brainly Tutor, Math Solver or Textbook Detective.

    Brainly is built to provide students, parents, experts, and teachers with a collaborative platform and tools needed to succeed in any educational environment.

    Based in Kraków, Poland, with U.S. headquarters in New York City, Brainly apps and websites are visited by users from over 35 countries.

    Backed by Prosus, Point Nine Capital, General Catalyst, Runa Capital, Learn Capital and Kulczyk Investments. Learn more about Brainly at .

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