AI/ML Engineer

Join our product engineering and applied research team as an AI/ML Engineer. You will have the opportunity to define the impact of AI on children's education, own AI systems and features end-to-end, and collaborate with learning experts and product engineers. You should have 3+ years of experience building AI products, strong software engineering fundamentals, and a passion for making a real impact on child development at scale.

• Définir l'impact de l'IA sur l'éducation des enfants et identifier les opportunités de produits.
• Posséder des systèmes et des fonctionnalités d'IA de bout en bout, de l'identification des opportunités à l'expédition des améliorations de production.
• Collaborer avec des experts en apprentissage et des ingénieurs produits pour construire une infrastructure mesurant la qualité éducative.
• You’re excited to build an AI product that pushes the boundaries of what’s possible in education
• You believe that great products and research strengthen each other. You’ll thrive here if you enjoy shipping AI features into a real product, designing the evaluations that prove they work, and turning fuzzy product questions into measurable experiments
• You’ll make an edit in your Jupyter notebook this week, deploy it on-device next week, and watch it bring smiles to kids’ faces a day later
• Research and experimentation: You’re comfortable with experimental thinking and reasoning through how to build systems around improving a non-deterministic product, while the underlying AI foundations shift. You can think empirically, but also make good calls in the gray area when needing to weigh conflicting signals and move quickly
• AI-forward workflow: you have a working practice of leveraging AI in your engineering workflows, and an active curiosity in how AI is transforming work
• Machine learning foundations: You’re able to read recent ML papers and implement parts of the stack – you don’t need deep model training expertise, but you do need to understand how they work and how to evaluate them. You have sufficient proficiency in applied mathematics and linear algebra to contribute to research discussions
• Evaluation and product improvement: You’ve built and operated evaluation or measurement systems, such as AI evals. You can own the loop from ambiguous product quality questions, to concrete metrics and research plans, back to production improvements
• Experience: 3+ years of experience building AI products in an engineering or research role. You’ve worked in environments that require you to take a high level of ownership
• Software engineering fundamentals: You take pride in writing clean Python code that others can build upon. You’re able to get up-to-speed quickly on unfamiliar code, work well with other engineers of varying backgrounds, and debug complex systems. You can make technical decisions with incomplete information while still maintaining high engineering standards
• Public projects that demonstrate technical creativity
• Strong product intuition — you can tell what's worth measuring and what isn't
• Experience with model training
• Depth in low-latency inference at scale
• Familiarity with speech systems
• Have something to teach us
• Have an urge to make a real impact on child development at scale
• Prefer open and direct communication grounded in empathy to beating around the bush
• Take initiative and full ownership of their work
• Want to build meaningful relationships at work