Staff Software Engineer

Warner Bros. Discovery

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Atlanta, GA
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $199k

$128k $287k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $174,587–$222,875.

Based on 240 similar postings.

Employer

About Warner Bros. Discovery

Warner Bros. Discovery is a global media and entertainment company operating a broad portfolio of iconic content and brands including Warner Bros. film studio, HBO, CNN, Discovery Channel, and Max streaming service. Industry: Media & Entertainment

Warner Bros. Discovery currently has 58 open roles on FindRole.

Listed pay typically runs $132,300–$245,700 across 24 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer

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Staff Software Engineer As a Staff Software Engineer on the ML Platform group within the AI Enablement and Machine Learning team at CNN, you will design, build, and operate the infrastructure foundations powering model training, serving, experimentation, and observability. You will lead architectural decisions for orchestration, serving, and cost attribution while building self-service tooling to help ML practitioners move from prototype to production. Key responsibilities include migrating training workloads to Metaflow, establishing comprehensive observability, and evolving the feature resolution framework into a unified platform. You will utilize Python, Go, Java, or C++ alongside AWS and Terraform to manage distributed systems. This role solves the technical challenge of providing reliable, low-latency infrastructure for diverse model architectures, including LLM-based systems and traditional machine learning models.

What does a Software Engineer earn in Georgia?

Median $187100 from 37 postings across 17 companies.

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Skills

Python Go Java C++ AWS Terraform Metaflow SageMaker Distributed Systems LLM GenAI Feature Store Observability FinOps

What you'll do

Design and own infrastructure, deployment tooling, and developer experience for ML and AI Systems teams.
Lead architectural decisions for orchestration, serving, observability, and experimentation infrastructure.
Build self-service tooling to help ML practitioners move from prototype to production without platform dependencies.
Establish engineering standards for ML/AI infrastructure, including reliability, cost governance, and operational excellence.
Own the end-to-end migration of ML training and orchestration workloads to Outerbounds-managed Metaflow.
Establish comprehensive observability, monitoring, alerting, and diagnostic tooling across all ML products and shared infrastructure.
Design and operate a unified registry and versioning system for ML models and AI applications.
Evolve the feature resolution framework into a platform for registering feature-generation APIs and landing durable data products.

What we're looking for

Bachelor's degree in Computer Science, Information Technology, or a related technical field (or 6+ years of experience with a Master's degree).
8+ years of experience building production infrastructure or platform systems.
Deep expertise in distributed systems with a track record of shipping highly available, low-latency infrastructure.
Strong proficiency in Python and at least one of Go, Java, or C++.
Expertise with cloud infrastructure and Infrastructure as Code, specifically AWS and Terraform.
Experience with ML or data infrastructure, including orchestration, serving, deployment tooling, observability, or experimentation frameworks.
Proven track record of leading complex platform projects from concept to production.
Experience with Metaflow, SageMaker, model registries, feature stores, or GenAI production systems (preferred).

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