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Remote Deep Learning Engineer Jobs in Oregon (NOW HIRING)

BetterHelp

Staff Machine Learning Engineer

OR · On-site +1

Strong expertise in machine learning techniques, including deep learning, neural networks ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Due to the sensitive nature of our engineering work, Anno.ai enforces strict digital footprint and ... Strong proficiency in Python and familiarity with at least one deep learning framework (e.g ...

Nvidia

Senior Machine Learning Engineer, AI Safety

OR · On-site +1

$114K - $156K/yr

NVIDIA is seeking talented Deep Learning Scientists / AI Researchers / Machine Learning Engineers to join our rapidly growing AI Safety and Responsibility efforts for Enterprise Risk Management. In ...

Blue River Technology

Machine Learning Engineer, Autonomy

OR · On-site +1

$113K - $202K/yr

Remote in the United States * Visa sponsorship : Open to visa sponsorship. Job Responsibilities A ... Solid grasp of vision + deep learning fundamentals. * Strong communication skills to work closely ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

Success in this role requires a strong grasp of ML fundamentals and statistics and deep knowledge ... Remote-US Time zone requirements The team operates on the East/West coast time zones. Travel ...

Nvidia

Machine Learning Engineer, AI Safety

OR · On-site +1

Deep Learning, Artificial Intelligence, and Large Language Models. If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you. Your base ...

Nvidia

Senior Compiler Engineer, AI Inference Platforms

OR · On-site +1

$122K - $161K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

Hands-on expertise with PyTorch and strong production-level programming skills in Python * Practical application of deep learning architectures such as CNNs, transformers, attention mechanisms, and ...

Nvidia

Solutions Architect, Industry Accounts

OR · On-site +1

$63 - $83/hr

Collaborating deeply with NVIDIA deep learning engineers, SDK product and framework teams, Deep Learning Institute (DLI), and NV Research to ensure developer enablement materials are best-in-class ...

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Showing results 21-40

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Oregon

Remote Deep Learning Engineer information

See Oregon salary details

$11.6K

$88.7K

$148K

How much do remote deep learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote deep learning engineer 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 is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

What are the key skills and qualifications needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What are popular job titles related to Remote Deep Learning Engineer jobs in Oregon?

For Remote Deep Learning Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning Engineer jobs in Oregon look for?

The top searched job categories for Remote Deep Learning Engineer jobs in Oregon are:

What cities in Oregon are hiring for Remote Deep Learning Engineer jobs?

Cities in Oregon with the most Remote Deep Learning Engineer job openings:

Remote Deep Learning Engineer jobs near you

Senior Deep Learning Performance Architect - LPU

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Posted 11 days ago

Key responsibilities

  • Design novel GPU and system architectures to advance AI Inference performance and efficiency.

  • Construct, investigate, and test deep learning algorithms and applications.

  • Build efficient power and performance models of AI inference stack to guide hardware architecture development.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We are now looking for a Senior Deep Learning Performance Architect. NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads.

This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you. What you'll be doing: Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency Construct, investigate, and test popular deep learning algorithms and applications Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture Collaborate across the company to guide the direction of AI, working with software, research, and product teams What we need to see: A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience Strong mathematical foundation in machine learning and deep learning Expert programming skills in C, C++, and/or Python Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) stack Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: Background with systems-level performance modeling, profiling, and analysis Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 15, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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