Top 811 Machine learning engineer Jobs in Tacoma, Wa

Manager, Machine Learning Engineering - Ad Platforms
Disney Entertainment and ESPN Product & Technology —Seattle, WA
- $171,600 - $241,000 a year
- On call
- Azure
- Computer Science
- System design
Senior Machine Learning Engineering Manager, Ad Platforms
Disney Entertainment and ESPN Product & Technology —Seattle, WA
- $207,400 - $291,500 a year
- On call
- Azure
- Computer Science
- System design
Machine Learning Engineer
Constellation Space —Seattle, WA
- $120,000 - $180,000 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
Quick Apply
Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start
TikTok USDS JV —Seattle, WA
- $100,320 - $177,840 a year
- Multiple hires
- Hybrid work
- Computer Science
- System design
- Fair chance
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (E-Commerce) - 2027 Start (PhD)
TikTok USDS JV —Seattle, WA
- $129,960 - $246,240 a year
- Hybrid work
- Computer Science
- Java
- Doctor of Philosophy
- Paid parental leave
- Paid holidays
Machine Learning Engineer, Search - USDS
TikTok USDS JV —Seattle, WA
- $129,960 - $246,240 a year
- Hybrid work
- Computer Science
- System design
- Mid-level
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start (PhD)
TikTok USDS JV —Seattle, WA
- $129,960 - $246,240 a year
- Hybrid work
- Computer Science
- System design
- Doctor of Philosophy
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start
TikTok —Seattle, WA
- $121,600 - $243,200 a year
- Multiple hires
- Computer Science
- Master's degree
- C++
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (E-Commerce) - 2027 Start
TikTok USDS JV —Seattle, WA
- $100,320 - $177,840 a year
- Multiple hires
- Hybrid work
- Computer Science
- Java
- Fair chance
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start
TikTok USDS JV —Seattle, WA
- $100,320 - $177,840 a year
- Multiple hires
- Hybrid work
- Computer Science
- System design
- Fair chance
- Paid parental leave
- Paid holidays
Senior Machine Learning E-commerce Feed Recommendation
TikTok —Seattle, WA
- $207,480 - $368,220 a year
- Computer Science
- Mid-level
- 3 years
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start
TikTok —Seattle, WA
- $121,600 - $243,200 a year
- Multiple hires
- Computer Science
- Office
- Master's degree
- Paid parental leave
- Paid holidays
Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start (PhD)
TikTok —Seattle, WA
- $153,900 - $300,960 a year
- Computer Science
- Office
- Analysis skills
- Paid parental leave
- Paid holidays
Senior Machine Learning (ML) Engineer
Truveta —Seattle, WA
- $175,000 - $200,000 a year
- Hybrid work
- Azure
- Computer Science
- 5 years
- Health insurance
- Dental insurance
6d
Sr Machine Learning Engineer
Disney Entertainment and ESPN Product & Technology —Seattle, WA
- $141,900 - $199,400 a year
- On call
- Hybrid work
- Computer science
- Azure
- Computer Science
Machine Learning Engineer
Orchard Robotics —Seattle, WA
- $135,000 - $210,000 a year
- Weekends as needed
- System design
- Mid-level
- Office
- Health insurance
- Dental insurance
Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start
TikTok —Seattle, WA
- $121,600 - $243,200 a year
- Multiple hires
- Computer Science
- Office
- Analysis skills
- Paid parental leave
- Paid holidays
Machine Learning Data Engineer
Outpost —Seattle, WA
- $130,000 - $160,000 a year
- Full-time
- Hybrid work
- Mid-level
- Analysis skills
- AI
- Paid holidays
- Health insurance
Machine Learning Engineer
Hive —Seattle, WA
- $120,000 - $180,000 a year
- Full-time
- Computer Science
- Mid-level
- SQL
- Health insurance
- Dental insurance
Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start (PhD)
TikTok USDS JV —Seattle, WA
- $129,960 - $246,240 a year
- Hybrid work
- Computer Science
- System design
- Doctor of Philosophy
- Paid parental leave
- Paid holidays

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Manager, Machine Learning Engineering - Ad Platforms

Disney Entertainment and ESPN Product & Technology
Seattle, WA

Apply Now

Job Details

$171,600 - $241,000 a year

Qualifications

AI models
Statistics
Software engineering
Statistics
Software deployment
Software implementation
System design
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Global team management
System design for system development
Production systems
Machine learning cloud services
Machine intelligence
Technology management
Model deployment
Statistical modeling
Developing large-scale AI models
Leading team collaboration initiatives
Scalability
Model training
System deployment
Machine learning libraries
Cross-functional team management
Machine learning frameworks
Design (software development lifecycle)
MLOps
Generative AI
Cross-functional communication

Full Job Description

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

Here are a few reasons why we think you’d love working here:

Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business.

Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance various aspects of ad serving. We are seeking a Senior Manager Machine Learning to join this innovative team. This role offers a unique leadership opportunity for an experienced ML/AI and people leader who thrives at the intersection of technical excellence, strategic impact, and cross-functional collaboration.

Job Summary:

You will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML/AI team members to design and build scalable, performant, maintainable, and testable models and pipelines in various domains using industry best practices which are aligned in close collaboration with the ML team in the US highlighting cross-functional collaboration.

Daily, you should bring:

A willingness and desire to effectively communicate and collaborate across teams and systems on architecture, design, and implementation.
A passion for mentoring, learning, and taking on new challenges.
A proven ability to work with product teams to translate requirements into
well-defined technical implementations, as well as the ability to define technical and operational metrics to measure system health.
A keen eye for potential optimizations and enhancements.
Kindness and pragmatic optimism.
A deep understanding of model development cycles and AI tool usage

Responsibilities and Duties of the Role:

Lead, mentor and guide Data Scientists, Machine Learning and AI engineers to build solutions adhering to industry best practices and deliver scalable solutions including model architecture and algorithm selection.
Lead by example and always strive to improve the design for more scalable, cleaner, and decoupled implementations.
Drive adoption of best practices in model development, code quality, testing, and documentation.
Solid understanding and usage of automated tools (AI) while adhering to company policy.
Define strategic direction for machine learning projects and collaborate with product and engineering stakeholders.
Oversee end-2-end machine learning workflow, including data collection, model development, deployment and modeling. These are expected to be aligned with the larger platform strategy and tools in collaboration with the global teams to stay consistent across Ad Platforms.
Foster innovation by exploring new ML techniques, tools, and technologies.
Communicate strategies, progress, and results to leadership and cross-functional teams.
Ensure responsible AI practices, including fairness, explainability, and compliance with privacy and ethical standards.
Develop partnerships across the organization to identify and prioritize high-impact ML opportunities.
Available for On-Call rotations based on the team’s escalation policy and support schedule for ML/AI solutions

Basic Qualifications:

Bachelor’s or master’s degree in computer science, Engineering,
Mathematics, Statistics, or a related field.
8+ years of relevant industry experience, with at least 2-3 years in a people-management or technical leadership role.
Proven ability to translate business problems into scalable ML and GenAI solutions and strong understanding of machine learning fundamentals, deep learning, and statistical modeling.
Proven experience designing, building, and deploying scalable machine learning models and systems in production.
Experience deploying ML/GenAI systems at scale using cloud platforms and MLOps practices
Advanced programming proficiency (e.g., Python, Java, or similar); experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, JAX, Hugging Face).
Experience building, fine-tuning, evaluating, and deploying LLM-based systems (e.g., RAG, prompt engineering, model optimization)
Demonstrated ability to lead global teams and collaborate across organizational boundaries.

Preferred Qualifications:

Domain knowledge in the Ad Tech industry
Experience working with large-scale data and distributed systems.
Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and MLOps pipelines.
Track record of innovation and contributions to the ML/AI community (publications, talks, open source).

#DISNEYTECH

The hiring range for this position in Los Angeles, CA area is $171,600 - $230,100 per year and Seattle Area is $179,700 - $241,000. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Apply Now

Refine Your Search

machine learning engineer jobs in tacoma, wa

Manager, Machine Learning Engineering - Ad Platforms

Senior Machine Learning Engineering Manager, Ad Platforms

Machine Learning Engineer

Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start

Machine Learning Engineer Graduate (E-Commerce) - 2027 Start (PhD)

Machine Learning Engineer, Search - USDS

Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start (PhD)

Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start

Machine Learning Engineer Graduate (E-Commerce) - 2027 Start

Machine Learning Engineer Graduate (Recommendations and Search) - 2027 Start

Senior Machine Learning E-commerce Feed Recommendation

Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start

Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start (PhD)

Senior Machine Learning (ML) Engineer

Sr Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer Graduate (E-Commerce Recommendation Live) - 2027 Start

Machine Learning Data Engineer

Machine Learning Engineer

Machine Learning Engineer Graduate (Tech and Product, USDS) - 2027 Start (PhD)

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