Senior Principal Machine Learning Engineer, Ad Platforms

The Walt Disney Company

Remote

Quick summary

Work type
Remote
Location
Seattle, WA
Salary
$228,700–$306,700 / yr
Posted
24 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $268k
$166k most similar roles pay here $322k

This role pays more than 82% of similar roles. Most pay $188,089–$252,625 — the shaded band above. At the midpoint, this role pays about $268k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 154 open roles on FindRole.

Listed pay typically runs $141,900–$190,300 across 150 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Senior Principal Machine Learning Engineer, Ad Platforms

As a Senior Principal Machine Learning Engineer at Disney’s Ad Platforms team, you will leverage your extensive experience and deep technical expertise to guide and mentor ML and research teams in developing scalable and efficient models and pipelines. Your daily responsibilities include reviewing designs for best practices, collaborating with product and sales teams to translate requirements into technical implementations, and mentoring team members across globally distributed ML teams. You will also influence the multi-year technical roadmap, explore new technologies, and propose solutions that enhance system performance and reduce overhead. The role requires proficiency in Python, Java, SQL, TensorFlow, PyTorch, and Hugging Face libraries, along with expertise in large language models (LLMs) like GPT, fine-tuning techniques, prompt engineering, embeddings, and vector search. This position demands a keen understanding of ad tech industry dynamics and the ability to work in a fast-paced environment while maintaining high standards for software development practices.

What you'll do

  • Review designs and implementations for adherence to best practices.
  • Influence multi-year technical roadmaps within the Ad Platforms team.
  • Translate product requirements into technical implementations, partnering with team leads.
  • Explore and implement proofs-of-concept to optimize system performance and reduce overhead.
  • Define and document software and models in high-throughput, low-latency environments.
  • Mentor team members on professional software development practices and methodologies.
  • Establish shared technical standards across globally distributed ML teams.

What we're looking for

  • Over 12 years of software engineering experience with a focus on distributed and highly available services.
  • Strong expertise in machine learning frameworks like TensorFlow, PyTorch, and Hugging Face libraries.
  • Experience in model optimization techniques including TensorRT, ONNX, and DeepSpeed.
  • Proficiency in fine-tuning models using SFT, PEFT, RLHF, and adapters.
  • In-depth knowledge of prompt engineering, retrieval-augmented generation (RAG), context management, and multi-agent systems.

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