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Deep Learning Engineer Jobs in Seattle, WA (NOW HIRING)

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We ...

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

In this position, you will be part of our extraordinary team of Computer Graphics, Computer Vision and Deep Learning researchers and engineers to discover and build solutions to previously-unsolved ...

Remitly

Staff Machine Learning Engineer

Seattle, WA · On-site

$208K - $260K/yr

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our ... Experience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference ...

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Deep Learning Engineer information

See Seattle, WA salary details

$43.3K

$131.9K

$218.1K

How much do deep learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for deep learning engineer in Seattle, WA is $131,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $172,500.00 per year, depending on experience, location, and employer.

What is a deep learning engineer?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What skills and qualifications does a deep learning engineer need?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What does a deep learning engineer do?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are popular job titles related to Deep Learning Engineer jobs in Seattle, WA? For Deep Learning Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in Seattle, WA look for? The top searched job categories for Deep Learning Engineer jobs in Seattle, WA are:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $131,931 per year, or $63.4 per hour.

Lead Machine Learning Engineer, Ads Research

The Walt Disney Company

Seattle, WA • On-site

$116K - $153K/yr

Full-time

Re-posted 6 days ago

Walt Disney Company rating

7.7

Company rating: 7.7 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

5th of 52 rated entertainment

Job description

Job Summary:
The Walt Disney Company is a global organization focused on building and advancing the technological backbone for Disney’s media business. The Lead Machine Learning Engineer will work across multiple machine learning areas with a primary focus on generative AI applications, driving innovation and applying state-of-the-art AI and machine learning across advertising domains.
Responsibilities:
• 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.
Qualifications:
Required:
• 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. For example: experience with diffusion models, flow models, similar generative techniques, agentic applications, etc.
• Very strong interest to self-teach via publications and training resources in generative modeling including in generative video and diffusion modeling.
• 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.
Preferred:
• 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.
• Diffusion model or generative AI controls research experience. (Otherwise strong interest to learn).
Company:
The Walt Disney Company started as a cartoon studio and evolves into sports coverage and television shows. Founded in 1923, the company is headquartered in Burbank, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

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