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Deep Learning Jobs in Oregon (NOW HIRING)

Natera

OR

This role develops and deploys deep learning models across digital pathology, genomics, transcriptomics, and cell-free DNA (cfDNA) modalities. You will build multimodal AI systems that integrate ...

Varsity Tutors

Machine Learning Tutor

OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Eugene, OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Natera

OR

We are seeking a Staff Machine Learning Scientist - Translational AI to provide technical leadership at the intersection of deep learning foundation models, computational biology, and molecular ...

Bespoke Labs

Machine Learning Engineer

Portland, OR

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Netflix

OR · On-site

Bring deep, handson expertise in MLLMs and agentic systems to guide technical direction and ... Master's or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent ...

Bespoke Labs

Machine Learning Engineer

Eugene, OR

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Salem, OR

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Nvidia

OR

More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that ...

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Deep Learning information

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$11.6K

$88.7K

$148K

How much do deep learning jobs pay per year?

As of Jun 20, 2026, the average yearly pay for deep learning in Oregon is $88,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,100.00 and $147,000.00 per year, depending on experience, location, and employer.

What jobs use deep learning?

Jobs that use deep learning include roles such as deep learning engineer, machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of neural networks and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience, impact, and industry demand.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What engineers make $500,000?

Senior deep learning engineers with extensive experience, advanced skills in neural networks, and expertise in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

What job makes $10,000 a month without a degree?

In the field of deep learning, roles such as freelance AI consultant or specialized machine learning engineer can potentially earn $10,000 or more per month through project-based work or high-demand expertise. Success typically requires strong skills in programming, neural networks, and experience with tools like TensorFlow or PyTorch, often gained through self-study or online courses rather than formal degrees.

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

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the most commonly searched types of Deep Learning jobs in Oregon? The most popular types of Deep Learning jobs in Oregon are:
What are popular job titles related to Deep Learning jobs in Oregon? For Deep Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Deep Learning jobs in Oregon look for? The top searched job categories for Deep Learning jobs in Oregon are:
What cities in Oregon are hiring for Deep Learning jobs? Cities in Oregon with the most Deep Learning job openings:
Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Oregon as of June 2026, with employment types broken down into 57% Full Time, 39% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $88,691 per year, or $42.6 per hour.
Senior Deep Learning Performance Architect

Senior Deep Learning Performance Architect

Nvidia

Hillsboro, OR

$181K/yr

Full-time

Posted 6 days ago

Job description

We are now looking for a Senior Deep Learning Performance Architect!

NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

What you'll be doing:

  • Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.

  • Benchmark and analyze AI workloads in single and multi-node configurations.

  • Develop high level simulator and analysis tools in C++/Python.

  • Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.

  • Work closely with peer architecture teams and product management to guide development of the products.

  • Keep abreast with emerging trends and research in deep learning.

What we need to see:

  • MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.

  • 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.

  • Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.

  • Strong programming skills in Python and C++.

Ways to stand out from the crowd:

  • Solid fundamental knowledge in computer architecture and interconnect fabrics.

  • Understanding of modern transformer-based model architectures.

  • Ability to simplify and communicate rich technical concepts to non-technical audience.

  • Have a curious demeanor with excellent problem-solving skills.

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as "the AI computing company", NVIDIA wants you. Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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