Software Engineer, ML Infrastructure (MDX)
Core
Building agentic infrastructure to accelerate ML development, training, evaluation, and deployment for ML engineers across DoorDash, Wolt, and Deliveroo.
Role type
Senior IC ML Infrastructure Engineer (Agentic Systems)
Builds
Agentic systems for auto-research, developer support, and self-healing ML pipelines
Domain
Machine Learning Platform / MLOps / AI Agents
Deliverable
production ML models
Required skills
Python, distributed systems, ML infrastructure (feature stores, pipelines, training platforms), production operations, observability, AI coding tools
Preferred skills
LLM-powered applications, agent orchestration, agent evaluation, MLOps tooling (Kubeflow, MLflow, Ray, Airflow), Kubernetes, cloud infrastructure (AWS/GCP), developer tools, safety guardrails
Technologies
Python, Kubernetes, AWS, GCP, Kubeflow, MLflow, Ray, Airflow
Responsibilities
Design and implement infrastructure for agents to propose, run, and evaluate modeling experiments; Build agentic developer support for the ML lifecycle; Develop evaluation and observability for agent behavior; Work with production standards including reliability, safety, and cost controls; Partner with ML engineers to turn workflows into reusable platform capabilities
Seniority
Senior, hands-on IC
