Brainly is the world’s largest online community, uniting students, parents and teachers in solving their academic problems and exchanging knowledge. Every month we are proud to be home to 350 million users around the world. Brainly’s knowledge base consists of hundreds of millions of Q&A contents in more than 12 languages and covering a broad spectrum of educational subjects at different grades.
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.
The Content Quality Systems team is responsible for providing the technical capabilities of:
- Learning new knowledge representations for text and media-rich contents.
- Enhancing and automating the content management process.
- Ensuring the quality and safety of Brainly’s knowledge base.
The Q&A Knowledge Base team’s mission is to enrich Brainly content with attributes that connect it to other information sources, including textbooks, educational videos, relevant classes, and points in school curricula. The team is responsible for building and supporting a system that maps Brainly social Q&A to textbook chapters and topics.
As a Tech Lead role you will act as technical partner to the project 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 strong theoretical background and a blend of coding, machine learning, and statistics skillset.
WHAT WILL YOU DO?
- 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.
- Design systems, architectures, methodologies, and define technical and research specifications.
- Technical mentoring and reviews (code and analysis).
- Contribute to the definition of the team roadmap and deliverables.
- Plan and estimate technical capacity and efforts required.
- Collaborates with the 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.
- Responsible for the technical success and quality of the team deliverables.
WHAT WILL YOU NEED TO BE SUCCESSFUL IN THIS ROLE?
Experience
- Bachelor’s degree or above in STEM fields (science, technology, engineering, or mathematics) or a similarly quantitative field.
- 6+ years experience, or a comparable industry career, with machine learning, data mining, or statistical modeling.
- Proven technical leadership of complex data science teams or machine learning projects involving multiple roles and/or teams.
- You are someone who has a deep appreciation for understanding team growth and you can share this passion to motivate the team and the wider organization.
- 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.
- Working knowledge of Python and the PyData stack or other numerical programming languages.
- Experience with NLP or other deep learning models in production.
Attributes
- Ability to prototype and test suboptimal solutions quickly and iterate up to a final product that can be deployed in production.
- A scientific mentality with the ability to ask the right questions, as well as answer them.
- Ability to convey complex analyses with the most efficient and intuitive visual interactions and data storytelling.
- Ability to break research down into clearly defined tasks and quick iterations.
- Hands-on tech leader attitude and clear communications skills.
- Familiar with agile development and lean principles.
Skills and systems
- Strong theoretical background on at least a few among high-dimensional classifiers, regression models, clustering algorithms, recommender systems, time-series analysis, Bayesian inference, text analytics, knowledge graphs, representation learning (embeddings), computer vision, or social network analysis.
- At least some of the data analysis and visualization tools such as pandas, dask, vaex, matplotlib, seaborn, plotly, dash, bokeh, shap, streamlit.
- At least some of the data engineering technologies such as Spark, DataBricks, Glue, EMR, Docker, Kubernetes, SQL, key-value stores, Redshift, Snowflake.
- At least some of the ML technologies such as AWS SageMaker, Tensorflow Extended, PyTorch, Spark ML, scikit-learn, XGBoost, KubeFlow, MLFlow, or related frameworks.
- Fluent in English.
ADDITIONAL DETAILS:
- Start date: as soon as possible (however, we’re happy to wait for the right person)
- Some of our benefits (the final package will depend on the location):
- Flexible working hours and the possibility to work remotely
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Personal development budget 800$ per year + unlimited time off policy for participation in conferences and workshops and access to an online learning platform with courses from Udemy, Harvard Manage Mentor and many others
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Fully paid private health care packages for you and your family (dental care included) provided by Luxmed
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Fully paid life insurance provided by Warta
- Multisport Plus card
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Access to the Mental Health Helpline – providing virtual support of external psychologists, psychotherapists, and coaches
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AskHenry services – personal concierge services to help you to settle your everyday matters (like Ikea shopping or shoemaker visit)
- Possibility to join one of our Employee Resource Groups and initiatives (Inclusion Council, Ladies at Brainly, Brainly Cares)
- If needed, additional budget for work remote work accessories
By sending us your application, you agree that Brainly sp. z o.o. with its seats in Krakow, will process your data contained in the form below and in the documents you attach in to participate in recruitment. In connection with this, you have the right to withdraw your consents, the right to access to your data, the right to obtain their copy, rectify them, erase, limit their usage and also data portability right and object to their use by Brainly, as well as to lodge a complaint with the President of the UODO. If you have any questions regarding the use of information about you and exercising your rights related to this use, please contact our DPO – privacy@brainly.com. I