Senior Principal Machine Learning Engineer, Ad Platforms

The Walt Disney Company

Confirmed live yesterday Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$228,700–$306,700 / yr
Posted
121 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $236k
This role $268k
$170k most similar roles pay here $321k

This role pays more than 76% of similar roles. Most pay $211,612–$260,866 — the shaded band above. At the midpoint, this role pays about $268k versus about $236k 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 118 open roles on FindRole.

Listed pay typically runs $148,700–$199,400 across 118 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 within the Ad Platforms team, you will serve in an individual contributor leadership role focused on building scalable, performant, and maintainable models and pipelines for sports, news, and entertainment content. You will be responsible for reviewing designs, influencing multi-year technical roadmaps, and translating product requirements into technical implementations while mentoring distributed teams. Your daily work involves developing high-throughput, low-latency systems and exploring proofs-of-concept to reduce operational overhead. The role requires expertise in Python, Java, and SQL, alongside frameworks like TensorFlow, PyTorch, and Hugging Face. You will utilize advanced techniques including LLM fine-tuning, RAG, prompt engineering, and model optimization using TensorRT, ONNX, and DeepSpeed. This position addresses complex technical challenges within the ad technology domain to drive advertising performance across various media platforms.

What does a Machine Learning Engineer earn in Remote?

Median $229700 from 72 postings across 27 companies.

See salary data

What you'll do

  • Design and implement robust, scalable, and performant machine learning models and pipelines for high-throughput environments.
  • Translate product requirements from stakeholders into well-defined technical implementations and actionable work items.
  • Influence the multi-year technical roadmap and shape overall product and business strategy.
  • Research and prototype solutions to reduce costs, improve maintainability, and accelerate production timelines.
  • Establish shared technical standards and working practices across globally distributed machine learning teams.
  • Mentor and inspire team members in professional software development and advanced ML techniques.
  • Define and document technical and operational metrics to monitor system health and performance.
  • Review designs and implementations to ensure adherence to architectural best practices in the AI domain.

What we're looking for

  • BS or MS in Computer Science, Engineering, or a related field.
  • PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field is preferred.
  • 12+ years of software engineering experience.
  • Strong foundations in algorithms, data structures, and numerical optimization.
  • Proficiency in Python, Java, and SQL.
  • Experience with frameworks such as TensorFlow, PyTorch, and Hugging Face libraries.
  • Expertise in model optimization and inference using TensorRT, ONNX, or DeepSpeed.
  • Deep expertise in LLMs, fine-tuning (SFT, PEFT, RLHF), RAG, and vector search.

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