Senior ML Platform Engineer for Agentic AI

Nerdleveltech; United States; On-site; USD 216,700 - 303,400; Full time

Job summary

Reddit is seeking an experienced engineer to design and build large-scale offline ML experimentation platforms and training orchestration frameworks. You will work on infrastructure for experiment tracking, model registries, and reproducibility, collaborating with ML researchers to accelerate experimentation velocity.

You will also contribute to an agentic AI execution platform with multi-agent orchestration, memory systems, and scalable workflows, enabling autonomous and human-in-the-loop

Qualifications

• 5+ years in infrastructure/platform engineering or large-scale distributed systems.
• 2+ years of hands-on experience building and operating production ML infrastructure, developer SDKs, platform APIs, or self-service AI tooling.
• Experience building workflow orchestration systems, developer platforms, or large-scale automation frameworks.
• Experience with distributed data processing systems such as Spark, Flink, Ray, or equivalent technologies.
• Experience with modern orchestration and workflow technologies such as Kubeflow, Argo, Airflow, or similar frameworks.
• Experience building offline ML experimentation platforms, model registries, experiment tracking systems, or training orchestration frameworks.
• Experience building and operating agentic AI systems, including multi-agent orchestration, autonomous workflows, and agent communication/runtime frameworks (e.g., MCP, A2A, and orchestration systems) is a strong plus
• Experience running end-to-end model development and iteration cycles at scale is a plus

Responsibilities

• Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows.
• Develop production-grade training orchestration frameworks supporting distributed training, hyperparameter optimization, model evaluation, and automated retraining.
• Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility.
• Partner with ML engineers and researchers to improve experimentation velocity and operational efficiency.
• Build automated workflows for model promotion, rollback, compliance validation, and continuous evaluation.
• Design and build an agentic AI execution platform supporting autonomous and human-in-the-loop workflows, including multi-agent orchestration, memory/context systems, and scalable workflow infrastructure.

Skills

Distributed systems

ML infrastructure

Workflow orchestration

Developer platforms

Multi-agent orchestration

Model development at scale

Tools

Spark

Flink

Ray

Kubeflow

Argo

Airflow

MCP

A2A

Job description

Reddit is seeking an experienced engineer to design and build large-scale offline ML experimentation platforms and training orchestration frameworks. You will work on infrastructure for experiment tracking, model registries, and reproducibility, collaborating with ML researchers to accelerate experimentation velocity.

You will also contribute to an agentic AI execution platform with multi-agent orchestration, memory systems, and scalable workflows, enabling autonomous and human-in-the-loop