Alma - ML Engineer

• If you join, you will be able to grow and impact on: • Visible impact - your models directly move Alma's bottom line, and you'll see it in the scoring and debt collection KPIs. • Visible impact • A modern ML platform to build on and improve - a GitOps/MLOps stack (Argo CD, GitHub Actions, dbt, Datadog) you'll own and shape. • A modern ML platform to build on • Real breadth - from core risk models to AI for operational intelligence, with genuine ownership across modelling and infrastructure in a small, autonomous team. • Real breadth • Competitive salary based on 12 months • Profit-sharing and employee savings plan • Health insurance: 100% covered by Alma including family package • Health insurance • Disability insurance: 100% covered by Alma • Disability insurance • Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities • Sport • Gymlib • Classpass • €30/month • Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. • Maternity/paternity leave • Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) • €544.80/year • Meal vouchers: €10/day, 50% covered by Alma • Meal vouchers • €10/day • Mental health: free access to MindDay platform • Mental health • Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) • Paid time off • Access to our Learning & Development Platform • Learning & Development Platform • 2 weeks of full remote possible per year in summer • 2 weeks of full remote possible • 🎯 Interview Process • Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. • Video call with a Talent Acquisition team member • Video call with your future manager to deep-dive a significant project you've owned, the team and the role. • Video call with your future manager • Applied ML, coding and ML system design discussion with 2–3 team members - a live, hands-on build to assess your craft, modelling judgment. • Applied ML, coding and ML system design discussion with 2–3 team members • Fit interview with a senior leader to assess values, motivation and ways of working. • Fit interview with a senior leader • 🌍 Diversity & Inclusion