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ROLE: Senior AI Scientist
Role aim
Are you passionate about AI and Education? We are thrilled to announce a great opportunity to join our international AI organization inside the English Language Learning division as a Senior AI scientist for one of the most critical products in the company. You will workprototyping and implementing artificial intelligence systems for the education sector .
In Pearson English Language Learning we aspire to become the world's leading destination to learn, assess and improve English language skills. Our main focus is to deliver our promise to committed learners from around the world, who want to reach their full potential through learning English.
Role profile
This position requires an experienced and fully competent professional with a broad set of skills in data engineering, statistical reasoning and modelling for educational measurement, applied machine learning research, and possibly also basic leadership skills.
This role requires minimal guidance. It can be considered to be an entry-level manager role, which may supervise and/or lead colleagues with less experience.
Depending on current needs, the role may be responsible for:
Leading significant parts of work in the lifecycle of development of learning educational capabilities Research & development in the field of creating data-driven educational products and solutions Designing, implementing and maintaining learning capabilities based on machine-learning and statistics, in collaboration with Engineering teams Designing frameworks for monitoring capabilities performance on production (in collaboration with Engineering teams); evaluating results for improvement Creating and conducting internal trainings Creating technical documentation, incl. patent documentation Sharing work results internally and externally (publications, conferences, meetups) Staying up to date with state-of-the-art methods in the scope of own specialisation, e.g. NLP, speech processing, statistical modelling, psychometrics Providing input into team vision, goals, and processes Leading, mentoring and coaching a small group of direct reports (from intern to regular level data scientists) Supervising or leading colleagues with less experience
Most desirable qualifications:
Experience with generative AI models and techniques.
Strong collaboration with engineering teams to develop and implement AI solutions.
Proven experience in building production-ready machine learning models to solve diverse set of business problems.
Good knowledge of statistical modelling and machine learning theory Strong proficiency in Python and machine learning frameworks, e.g. pandas, numpy, scikit-learn, NLTK, spaCy, Hugging Face, TensorFlow, PyTorch
Strong hands-on experience in using state-of-the-art methods in the scope of own specialisation, e.g. NLP, speech processing, statistical modelling, psychometrics, reinforcement learning
Proficiency in SQL and relational databases
Ability to translate business needs into research problems
Ability to apply best practices for machine learning and software engineering
Experience with Git-based code review
Proficiency in Linux, Unix or macOS
Some experience in working with non-technical stakeholder At least intermediate presentation and mentoring skills Ability to work in a diverse, remote, asynchronous team Collaboration skills, e.g. being able to give (and receive) feedback Proficiency in written and spoken English and a key local language
Nice to have:
Familiarity / experience with:
MLOps and DevOps
Docker and Kubernetes
cloud infrastructure, preferably AWS, Azure cloud data processing, e.g. Snowflake or AWS Redshift distributed data processing, e.g. Spark
Location:
We are looking for an individual in Spain or Poland to join our existing hubs.
