Staff Software Engineer

Warner Bros. Discovery

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Atlanta, GA
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $221k
$166k most similar roles pay here $275k

This listing doesn't post a salary. Most similar roles pay $192,132–$250,000.

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 55 open roles on FindRole.

Listed pay typically runs $131,985–$245,115 across 38 roles with salary data.

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At a glance

TL;DR · Staff Software Engineer

As a Staff Software Engineer on the ML Platform team, you will design, build, and operate infrastructure foundations that power model training, serving, experimentation, and observability for Machine Learning and AI Systems teams. You will lead architectural decisions regarding orchestration and deployment tooling while building self-service systems to move models from prototype to production. Key responsibilities include managing an Outerbounds migration to Metaflow, establishing cost attribution, and developing a unified registry for ML models and applications. You will also evolve the feature resolution framework into a robust platform for durable data products. The role requires expertise in distributed systems, Python, Go, Java, or C++, along with proficiency in AWS and Terraform. You will solve complex problems involving diverse model architectures, including LLM-based systems and traditional ML, to ensure reliable production performance across various use cases.

What does a Software Engineer earn in Georgia?

Median $178750 from 35 postings across 14 companies.

See salary data

What you'll do

  • Design and own infrastructure, deployment tooling, and developer experience for ML and AI Systems teams.
  • Lead architectural decisions regarding orchestration, serving, observability, and experimentation infrastructure.
  • Build self-service tools to enable ML practitioners to move from prototype to production independently.
  • Execute the end-to-end migration of ML training and orchestration workloads to Metaflow.
  • Establish comprehensive monitoring, alerting, and diagnostic tooling for all ML products and shared infrastructure.
  • Implement cost attribution systems to govern ML and AI spending by team and use case.
  • Design and operate a unified registry and versioning system for ML models and AI applications.
  • Evolve the feature resolution framework into a robust platform for managing feature-generation APIs and 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 and 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 (IaC), 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.
  • Ability to mentor engineers and lead cross-team initiatives for engineering growth.

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