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

Apple

Machine Learning Engineer

Seattle, WA

$171K - $302K/yr

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 ...

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 ...

Microsoft

Research Intern - Deep Learning Group

Redmond, WA · On-site

$8.7K - $14K/mo

... and engineers, who pursue innovation in a range of scientific and technical disciplines to help ... The Deep Learning group at the Microsoft Research Redmond lab is seeking applicants for 2026 summer ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$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 ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$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 ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in Seattle, WA

Deep Learning Engineer information

See Seattle, WA salary details

$43.2K

$131.9K

$217.9K

How much do deep learning engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for deep learning engineer in Seattle, WA is $131,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $172,400.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

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 are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

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 are the typical daily tasks and responsibilities of a Deep Learning Engineer?

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 June 2026, with employment types broken down into 10% Internship, 71% Full Time, and 19% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $131,855 per year, or $63.4 per hour.

Senior Deep Learning and Computer Vision Engineer - Autonomous Vehicles

NVIDIA AI

Seattle, WA • On-site

$139K - $183K/yr

Full-time

Posted 8 days ago

Job description

Job Summary:
NVIDIA AI is seeking a Deep Learning and Computer Vision engineer for their Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles and working with top researchers to deliver impactful solutions for customers worldwide.
Responsibilities:
• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
• Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
• Taking approaches from initial evaluation and experimentation all the way to shipping.
• Defining and collecting training datasets.
• Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).
Qualifications:
Required:
• PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Proven experience building robust software.
• Passionate about Artificial Intelligence for robotics and autonomous navigation.
• Strive to learn new things and like solving hard problems.
• Math knowledge.
• Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.
• Programming and debugging skills in C++ and/or Python.
• Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.
Preferred:
• Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems.
• Experience with Unsupervised or Self-supervised Learning.
• Involvement with architecture optimization, pruning, curriculum & multi-task training.
• Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.

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