ML Infrastructure Engineer: Agentic AI Systems

DoorDash, Inc.; Seattle (WA); Presencial; USD 131 000 - 192 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401(k) with employer matching

Parental leave 16 weeks

Medical, dental, and vision benefits

Wellness benefits

Paid time off & sick leave

Resumo da oferta

DoorDash’s MDX team sits within the Machine Learning Platform and builds the foundation for ML engineers across DoorDash, Wolt, and Deliveroo to build and run ML-powered products. You’ll join a small, high-leverage team creating the agentic layer of our ML infrastructure and own components end to end, from design to production.

You will design and build systems for agent orchestration, tooling, and integrations with our ML platform, enabling scalable experimentation and robust observability

Qualificações

• 2+ years of industry experience in software engineering.
• Hands-on experience building ML infrastructure in production including feature engineering and feature stores, data pipelines for ML, training and experimentation platforms, model evaluation, deployment, serving and inference, or monitoring.
• Strong backend engineering fundamentals, especially in Python and distributed systems.
• Experience operating systems in production, including testing, observability, debugging, and reliability.
• A good understanding of how ML engineers and data scientists work, and a track record of building platforms, tools, or services that make them more productive.
• Ability to take ambiguous, well-scoped problems from idea to production, and to learn quickly in a fast-moving technical area.
• Proficiency in using AI coding tools across the software development lifecycle, including designing, generating code, testing, monitoring, and releasing software.

Responsabilidades

• Build agentic systems that increase the velocity of ML development across DoorDash, Wolt, and Deliveroo, helping ML engineers get from idea to production model faster.
• Design and implement infrastructure that lets agents propose, run, and evaluate modeling experiments.
• Build agentic developer support for the ML lifecycle, such as agents that help engineers set up training jobs, debug failing pipelines, review model deployments, and navigate our platform.
• Develop evaluation and observability for agent behavior, so we can measure whether agents are actually helping, catch regressions early, and build trust for more autonomy.
• Work with production standards, including reliability, safety guardrails, cost controls, monitoring, and playbooks.

Conhecimentos

Python

Distributed systems

Backend engineering

Observability

AI coding tools

Formação académica

Bachelor's/Master's/PhD in CS or equivalent

Ferramentas

Kubernetes

Kubeflow

MLflow

Ray

Airflow

Descrição da oferta de emprego

DoorDash’s MDX team sits within the Machine Learning Platform and builds the foundation for ML engineers across DoorDash, Wolt, and Deliveroo to build and run ML-powered products. You’ll join a small, high-leverage team creating the agentic layer of our ML infrastructure and own components end to end, from design to production.

You will design and build systems for agent orchestration, tooling, and integrations with our ML platform, enabling scalable experimentation and robust observability