AI Engineer (H/F)

# AI Engineer (H/F)

• Paris
• CDI
• Postuler## À propos**About Lalilo**Lalilo is an Ed

Tech company building a web application that helps differentiate reading instruction in elementary schools. Our vision is to support teachers by combining pedagogy, design, and artificial intelligence in an engaging learning platform. We believe teachers have one of the most difficult and impactful jobs in society, and we want to help them in their mission of guiding every student. We also believe that every child deserves a fair chance to succeed, and that starts with learning to read.

Our pedagogical assistant is used by 50,000 teachers and 500,000 students worldwide!**About Renaissance Learning**Lalilo is part of Renaissance Learning, a global leader in pre-K–12 education technology serving more than one-third of U.

S. schools and reaching more than tens of millions of students. Renaissance has assembled a portfolio of category-defining products: Star Assessments, Accelerated Reader, Freckle, my

ON, Nearpod, and Lalilo, among them, through a series of strategic acquisitions.## Descriptif du poste

You’ll join the Data & AI team as an AI Engineer to help us design, ship, and operate the ML and AI systems that power our products. You will work end-to-end: from data and modelling to deployment, monitoring, and iteration in production.

You would join at a pivotal moment: the company is actively unifying its products into a coherent learning ecosystem, and that effort is generating strong traction across the U.

S. market with a direct impact on millions of learners. Our team contributes to several of the group's ambitious AI initiatives, including:

• Designing the **ML infrastructure** that will power AI features across the unified Renaissance product suite.
• Building a **speech recognition and evaluation platform** tailored to the constraints of educational exercises, capable of automatically measuring students' reading fluency.
• Applying **LLM-based pipelines and product AI (STT, ...)** to scale the creation and adaptation of pedagogical content.## Profil recherché**Required**
• Master's/Engineering degree in Data Science, Machine Learning, or equivalent.
• 2+ years building and shipping AI-powered products, including ML model development, deployment, and integration.
• Strong data science fundamentals: able to train, evaluate, and reason about ML models, including LLM-based systems.
• Solid MLEng and MLOps skills (CI/CD, cloud infrastructure, containerization, monitoring).
• Pragmatic, ship-focused mindset: you prioritise reliable systems over research output.
• Genuine enthusiasm for product, applied AI, and emerging technologies.
• Motivated by Ed

Tech's potential to impact students and teachers.

• Comfortable navigating in an international team and discussing technical concepts with strong English and French communication skills.
• Based in Paris or ability to come to the office at least 2 days a week.**Nice-to-have**
• Experience with speech recognition or audio ML.
• Experience with gen

AI-based applications (RAG, Agentic AI, LLM evaluation frameworks). By the way, if you’ve never heard of it, whether you’re interested in the offer or not, you should definitely have a look at dspy*Don't check every box?* ***Apply anyway***.*Studies show many talented candidates, especially women and underrepresented groups, hesitate to apply unless they meet all requirements. We hire for potential and mindset as much as experience. If this role excites you, we want to hear from you***What We Offer*** A kind, humble, and collaborative environment where everyone contributes hands-on, learns from one another, and grows through impact* 25 days of paid vacation + 10 RTT days + extra days off if needed* Health insurance with Swisslife via Benefiz (base plan 100% covered by Lalilo)* 75% of your Pass Navigo covered* Meal vouchers and complementary health insurance covered* Hybrid and flexible work setup* Join the Lali-tivities! (famous pastry of the week, afterworks, sports in the morning, team retreats once a year, and much more!)

We offer competitive compensation that matches your experience and skills, and we ensure it's fair and equitable for similar profiles on the team.**The salary range for this position is €55K to €70K annually.***At Lalilo, salaries are transparent and publicly shared within the company. After your first year, you'll be eligible for a performance-based variable bonus, determined by your individual role level as well as Lalilo's and Renaissance's overall results.*## Process de recrutement1. CV screening

• Please provide a CV in English2. Screening call (20–30 min)3. Technical interview (1h)4. Case study interview (1h)5. Culture fit interview (1h)6. Reference calls (both sides)7. Offer ## Informations complémentaires
• Type de contrat : **CDI**
• Lieu : **Paris**
• Niveau d'études : **Bac +5 / Master**
• Expérience : **> 2 ans*** **Télétravail partiel possible**
• Salaire : **entre 55000€ et 70000€ / an**

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