Top 136 Research engineer Jobs in Seattle, Wa

Lead Machine Learning Engineer, Ads Research
Disney Entertainment and ESPN Product & Technology —Seattle, WA
- $171,600 - $241,000 a year
- Computer science
- 7 years
- Computer Science
Research Associate, Gene Engineering and Delivery
Bristol-Myers Squibb —Seattle, WA
- $76,270 - $92,422 a year
- Email
- Hybrid work
- Bachelor of Science
- Mid-level
- Travel
- Paid holidays
- Disability insurance
6d
Research Scientist/Engineer 2
University of Washington —Seattle, WA
- $69,600 - $96,000 a year
- Full-time
- Management
- Mid-level
- Analysis skills
Research & Development Engineer
Algas-SDI International LLC —Kent, WA
- $120,000 - $165,000 a year
- Mid-level
- Travel
- Electrical Engineering
- Opportunities for advancement
Quick Apply
Research Engineer, Asta
The Allen Institute for Artificial Intelligence —Seattle, WA
- $118,800 - $178,200 a year
- Computer Science
- Office
- AWS
- Health savings account
- Paid holidays
Research Scientist/Engineer 1
University of Washington —Seattle, WA
- $65,004 - $70,008 a year
- Full-time
- Computer Science
- Writing skills
- DevOps
Research Engineer
Adobe —Seattle, WA
- $120,700 - $238,600 a year
- Full-time
- Computer Science
- Research
- 3 years
Research Scientist/Engineer 3
University of Washington —Seattle, WA
- $80,244 - $132,612 a year
- Full-time
- Anatomy knowledge
- Customer service
- Java
Research Software Engineer
Accutar Biotechnology —Bellevue, WA
- $200,000 a year
- Computer science
- Computer Science
- Mid-level
Research Scientist/Engineer Senior
University of Washington —Seattle, WA
- $104,172 - $168,000 a year
- Full-time
- University
- Doctor of Philosophy
- Acute care experience
Machine Learning Research Engineer , Text Generation, Input Experience
Apple —Seattle, WA
- $142,300 - $263,300 a year
- Mid-level
- Presentation skills
- Doctor of Philosophy
- Employee stock purchase plan
- Health insurance
Research Software Engineer - Multiple Levels- AI Frontiers
Microsoft —Redmond, WA
- $102,100 - $261,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
Research Engineer 2 - Hardware and Software Design (Temporary)
University of Washington —Seattle, WA
- $68,736 - $84,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Senior Research Engineer, Olmo + Molmo
The Allen Institute for Artificial Intelligence —Seattle, WA
- $146,880 - $220,320 a year
- Computer science
- Computer Science
- Bachelor of Science
- Health savings account
- Paid holidays
AI Research Engineer
Standard Bots —Seattle, WA
- $225,000 - $300,000 a year
- Full-time
- Hybrid work
- Research
- 3 years
- Doctor of Philosophy
- Disability insurance
- Health insurance
Research Scientist/Engr 4
University of Washington —Seattle, WA
- $99,444 - $122,124 a year
- Full-time
- Master's degree
- University
- Senior level
Research Scientist/Engineer 3 - Department of Medicine, Division of Hematology & Oncology
University of Washington —Seattle, WA
- $88,800 - $103,200 a year
- Weekends as needed
- Office
- Analysis skills
- University
Senior Research Engineer, Generative Prototyping
Adobe —Seattle, WA
- $204,800 - $313,300 a year
- Full-time
- Computer Science
- 5 years
- Doctor of Philosophy
Research Acoustics Engineer
CAD-Based Solutions, Inc. —Redmond, WA
- Full-time
- Engineering
- Mid-level
- Master's degree
Quick Apply
Research Engineer - MSL FAIR Foundations
Meta —Seattle, WA
- $154,003 - $217,000 a year
- Computer science
- Computer Science
- Mid-level

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Lead Machine Learning Engineer, Ads Research

Disney Entertainment and ESPN Product & Technology
Seattle, WA

Apply Now

Job Details

$171,600 - $241,000 a year

Qualifications

AI models
Statistics
Data quality checks
Predictive modeling analysis
Data quality assurance
Data structures
Generative models
Application deployment
Research
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Production systems
Collaboration with product development teams
Machine intelligence
Math
Model deployment
Data quality monitoring
Developing large-scale AI models
Natural language processing
Scalability
System deployment
Machine learning libraries
Machine learning frameworks
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 is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications as well, including development of classical ML models to optimize advertisement marketplace operations.

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 generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as Ad marketplace optimization, forecasting, and related ML and generative AI experimentation.

We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications.

WHAT YOU’LL DO

Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications.
Create, evaluate, improve, optimize technologies
Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles.
Design, build, and scale robust ML systems that power core ad platform capabilities
Champion engineering excellence through best practices in code quality, system design, and operational reliability.
Mentor and support junior engineers, fostering a culture of continuous learning and technical growth.

WHAT TO BRING

Bachelor's in computer science or equivalent experience.
Prior experience rigorously developing, researching, and/or productionizing any of the following generative AI modeling or AI-based editing domains: image, video, mixed media, audio, LLMs, or agentic flows.
Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes.
Experience developing language-processing applications via LLMs or agentic flows.
Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc.
Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems.
Strong knowledge of AI/ML technologies, mathematics and statistics.
Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences.
Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL
Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc.
Expert knowledge with traditional (tabular) ML modeling and methods.
Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures.
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment.
Experience working closely with UX and front end designers building production generative AI products.

NICE-TO-HAVES

MS or PhD (preferred) in computer science or equivalent experience.
Experience with multimodal models and embedding techniques.
Computer vision or visual content understanding experience.
Experience in digital video advertising or digital marketing domain.

Location: Seattle / Santa Monica / Glendale

#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $171,600 to $230,100 per year and in Seattle is $179,700 to $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

research engineer jobs in seattle, wa

Lead Machine Learning Engineer, Ads Research

Research Associate, Gene Engineering and Delivery

Research Scientist/Engineer 2

Research & Development Engineer

Research Engineer, Asta

Research Scientist/Engineer 1

Research Engineer

Research Scientist/Engineer 3

Research Software Engineer

Research Scientist/Engineer Senior

Machine Learning Research Engineer , Text Generation, Input Experience

Research Software Engineer - Multiple Levels- AI Frontiers

Research Engineer 2 - Hardware and Software Design (Temporary)

Senior Research Engineer, Olmo + Molmo

AI Research Engineer

Research Scientist/Engr 4

Research Scientist/Engineer 3 - Department of Medicine, Division of Hematology & Oncology

Senior Research Engineer, Generative Prototyping

Research Acoustics Engineer

Research Engineer - MSL FAIR Foundations

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