Sr Staff Machine Learning Engineer - Logistics Intelligence
Core
Develop and evolve critical logistics tools (Simulator, Optimizer, Maestro) to connect data science and software engineering for iFood's delivery, market, and pharmacy operations.
Role type
Sr Staff Machine Learning Engineer (Logistics Intelligence)
Builds
Production ML models for route simulation, optimization, and logistics planning
Domain
Food delivery technology / Logistics optimization
Deliverable
production ML models
Required skills
Rust, Cloud (AWS), Container orchestration (Kubernetes / IKS), ML model deployment, CI/CD, Unit testing, Integration testing
Preferred skills
Route simulation, Map data and routing (OpenStreetMap, distance matrices), Engineering quality improvement in data science teams
Technologies
Rust, AWS, Kubernetes, IKS, OpenStreetMap
Responsibilities
Develop and evolve critical logistics tools, Act as a high-seniority IC connecting data science and software engineering, Leverage ML models to production with focus on robustness and observability, Build and evangelize engineering best practices, Collaborate with product owners and stakeholders, Propose innovations for long-term system vision
Seniority
Sr Staff, hands-on IC
