Senior AI Scientist

You will be responsible for:

• Leading exciting projects—from designing new features to building production-ready, AI-powered learning experiences (50–70% of your time)
• Driving research and prototyping on advanced educational data science
• Designing and deploy machine learning solutions with direct input into how students everywhere learn and succeed
• Creating practical tools with lasting user impact, not just theoretical models
• Sharing and grow your expertise through internal trainings, tech talks, and documentation
• Collaborating with passionate experts and see the results of your work in real classrooms

You will need to have:

• Hands-on experience creating real-world solutions with generative AI
• Ability to turn ideas into trustworthy ML products—collaborating closely with top engineers
• Strong Python and ML stack knowledge (e.g., pandas, numpy, scikit-learn, NLP/AI frameworks)
• Good understanding of statistics, data modeling, and modern machine learning
• Fluent English (and Polish or another local language)—you communicate clearly, teach, and inspire
• Experience with collaborative code review and data-driven development on Linux/Unix/macOS
• Comfortable leading, mentoring, and supporting a diverse, globally distributed team
• Skilled in breaking down complex problems and delivering value to both learners and stakeholders

Bonus Points (Not Required!)

• Experience with MLOps/DevOps pipelines, cloud platforms (AWS, Azure), containers (Docker/Kubernetes), or large-scale data frameworks (Snowflake, Spark)
• Interest in educational impact and social good projects
• Eagerness to contribute to a vibrant, innovative community

You will get:

• 100% remote work with the option to use our Warsaw office.
• Flexible working hours.
• Company events and networking opportunities.
• Broad access to O'Reilly platform with workshops, webinars and certificates. 
• Money return for passed certifications.
• Access to exclusive Microsoft Azure and Google Cloud Platform training packages for partners.
• Opportunity to leverage our in-house incubator for developing your own ventures.
• Supportive community with 50+ consultants, each bringing 10+ years’ experience in Data Warehouse and Big Data.
• ...and much more!