Senior Data Scientist (Nlp And Llms), Ai Research
Responder al anuncioThis is a Full Remote job, the offer is available from: Spain. NOTICE: ONLINE RECRUITMENT PROCESS. LOCATION: REMOTELY FROM SPAIN. The AI Research Team is dedicated to bridging the gap between machine learning and the business domain, acting as an incubator for new AI initiatives, feasibility studies on state-of-the-art solutions implemented in our domain, discovering new AI opportunities, supporting existing projects, and providing research capabilities to our leadership, collaborating with them using our data science and analytics expertise to add value and ensure Brainly’s success. Specifically, our AI strategy and roadmap are investing more and more in our capacity to best exploit modern LLMs for question answering, quality assurance, and other educational tasks, and build domain-specific layers around them (e. G. learners’ personalization) which is one of our main areas of research focus. You will have the chance to work with top-class scientists, engineers, and domain experts, and to drive the data science and research processes of our LLM-based product features end-to-end. The ideal candidate is an enthusiast of the educational domain with a blend of coding, machine learning, and statistics skillset. WHAT YOU’LL DOConduct dedicated research and experiments with the latest state-of-the-art of Machine Learning (including NLP, LLMs, Computer Vision, traditional statistical learning…) applied to Brainly data and education domain. Provide the CTO and other stakeholders with analytics reports that facilitate decision-making related to AI strategy and roadmap. Provide suggestions for new utilization of AI (e. G. LLMs use cases) as part of Brainly product features or optimization of internal processes. Develop proof-of-concepts or prototypes that can be further engineered and productized. Train and share knowledge with the rest of ML practitioners on those advances. Develop reusable tools, and scientific and programmatic methodologies for rapid experimentation and evaluation of a variety of AI applications e. G. question answering, content quality assurance, language chains, embeddings, personalization, classification, tagging, entity extraction, summarization, paraphrasing, text cleaning, ranking/comparison, information retrieval, object detection. Partner and rapidly provide data science support and programmatic tools to the AI Operations team and other human subject matter experts to produce the ground truth datasets required to validate our hypothesis or train/calibrate our algorithms. Assess the behavior of the current state of Brainly technology used in production, or in development environments, and provide advanced insights about strengths, weaknesses, biases, content characteristics, users’ intentions, and areas for improvement. Collaborate with other teams in the rest of the company to provide consulting, initial research, prototypes, and recommendations of which AI/ML techniques and industry practices to implement as part of the R&D of new or existing projects. Enable Brainly employees who are dealing with AI technologies to learn how to use them, what to expect from it, and what kind of custom QA layers are required on top. WHAT IS REQUIRED4+ years of experience with Deep Learning models for NLP and transformers architecture. 4+ years of working experience in Python and the PyData stack or other numerical programming languages. Experience with analyzing and producing insights from digital product datasets using both qualitative and quantitative techniques. Experience with modern Cloud Computing (preferably AWS). Strong theoretical background in at least a few among natural language processing (especially modern language models), 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. Fluent verbal and written English skills. Ability to think strategically, connecting the dots in the big picture, framing the right problem, balancing trade-offs, and producing actionable insights for our decision-makers. Ability to synthesize key messages and action items in the form of executive summaries and present complex ideas and technical findings to non-technical audiences. Ability to convey complex analyses with the most efficient and intuitive visual interactions and data storytelling. WHAT IS PREFERREDExperience with prompt engineering, fine-tuning, or evaluating LLMs in production. Experience with HuggingFace transformers or other deep learning models. Experience with text mining and text analytics. Experience with data engineering, ETL jobs, or feature engineering. Knowledge of at least some of the data engineering technologies such as Spark, DataBricks, Glue, EMR, Docker, Kubernetes, SQL, key-value stores, Redshift, Snowflake. Being familiar with ML technologies such as AWS SageMaker, Tensorflow Extended, PyTorch, Spark ML, scikit-learn, XGBoost, KubeFlow, Neptune, Flyte, MLFlow, or related frameworks. Experience with cooperating and communicating with the top management to inform decisions via data science. Bachelor’s degree or above in STEM fields (science, technology, engineering, or mathematics) or a similarly quantitative field. Ability to break research down into clearly defined tasks and quick iterations. Ability to work extremely fast, with short feedback loops and in close collaboration with other team members and multiple external stakeholders. Strong analytical thinking – ability to explore data and draw conclusions. Capable of solving problems in an unconventional manner and not getting stuck at obstacles. A scientific mindset with the ability to ask the right questions, as well as answer them. Ability to stay up to date with the latest academic research and implement state-of-the-art methods. Familiar with agile development and lean principles. Team player attitude. WHAT YOU GET BY JOINING BRAINLYWe 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. 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. You will also get access to online individual psychological consultations with professionals in English via the Mental Health Helpline. Your personal concierge AskHenry will support you in your daily duties, e. G.planning your dream vacation. 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. We also provide stock options. By sending us your application you agree that Brainly sp. z o. O. will process your personal data to participate in this recruitment process. If you want to know more about how Brainly processes your personal data please click here. ABOUT BRAINLYBrainly is the #1 AI education tool in the world, with a vision to give every student in the world access to personalized learning, no matter their background or resources. Brainly’s full-service AI Learning Companion is relied upon by more than 15 million daily users; students, parents, and teachers for personalized, on-demand academic assistance. Founded in 2009, Brainly operates in the US, Europe, Asia, and Latin America, and is backed by Prosus, Point Nine Capital, General Catalyst, Runa Capital, Learn Capital, and Kulczyk Investments. Learn more at www.Brainly. Com. #J-18808-Ljbffr
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