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Remote Deep Learning Engineer Jobs in Oregon (NOW HIRING)

Waabi

Senior / Staff Software Engineer, Mapping

OR · On-site +1

$141K - $242K/yr

You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... deep convolutional neural networks, multi-object tracking, data association, supervised learning ...

OSARO

Deployment Engineer

OR · On-site +1

$100K - $140K/yr

You will collaborate with all Engineering teams to learn everything there is to know about the hardware, deep learning, computer vision, motion planning, robotic control, etc. components of our ...

Armada

Distinguished Engineer / Technical Fellow

OR · On-site +1

... inference, adaptive learning at the edge, and secure Earth-to-space data orchestration ... remote, or "denied" environments. * Systems Programming: Mastery of Go, C++, or Rust, with a deep ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Remote

Nvidia

Software Engineer, DGX Cloud AI Infrastructure

OR · On-site +1

$172K - $204K/yr

This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations. What you'll be doing:

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. * Experience with modern learning-from-demonstration tools like DiffusionPolicy * Experience with ...

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

BloKchain Talent, LLC

$150K - $250K/yr

Senior Back End Engineer - Blockchain (Remote) Location: Remote Worker must live within USA or ... Participate in the continuously growing, learning and development of technologies Qualifications ...

PointClickCare

(Canada) Principal ML System Engineer

OR · On-site +1

$176K - $195K/yr

... learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will ... AJ1 #LI-remote $176,000 - $195,000 a year At PointClickCare, base salary is one of the many ...

Endava

Forward Deployed Engineer (Palantir)

Remote Opportunity MUST HAVE EXPERIENCE WITH PALANTIR * As a Senior Forward Deployed Engineer ... This role combines deep technical expertise in Palantir Foundry with strategic deployment ...

Cresta

Senior Infrastructure Engineer/SRE

OR · On-site +1

$108K - $147K/yr

Building machine learning infrastructure that enables AI teams to train, test, and deploy on large ... Deep familiarity with container-related security best practices. * Production experience working ...

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

... deep analysis * Work with a world class team of engineers who are strong in both machine learning ... Location: Liftoff follows a philosophy of "remote first, come together meaningfully" and allows ...

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Showing results 41-60

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 Aug 19, 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 the most commonly searched types of Deep Learning Engineer jobs in Oregon?

The most popular types of Deep Learning Engineer jobs in Oregon are:

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 / Staff Software Engineer, Mapping

Waabi

OR • On-site, Remote

$141K - $242K/yr

Full-time

Re-posted 17 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Mapping team at Waabi develops the foundational spatial intelligence of our autonomous fleet. As a Senior or Staff Software Engineer on our Mapping team, you will act as a versatile, foundational builder for our highly scalable, AI-driven mapping infrastructure. We are looking for a strong software generalist who thrives on variety, can easily pivot across different projects, and tackles complex distributed systems problems from data ingestion to real-time serving. 
 
You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We value original, high-impact ideas and rigorous experimental validation.
 
You will...
- Act as a versatile engineering powerhouse, quickly ramping up on new domains and fluidly transitioning between backend pipelines, API design, and vehicle-side serving.
- Be part of a multidisciplinary team of Engineers and Research Scientists using AI-first approach to create high-definition (HD) maps at scale.
- Architect and build the engineering foundations of our long-term mapping infrastructure.
- Build robust, scalable pipelines to automatically create, validate, maintain, and visualize massive amounts of data.
- Design and develop comprehensive metrics, observability, and anomaly detection across various systems.
- Partner directly with downstream customers (e.g. Perception, Motion Planning, Simulation) to capture complex requirements and implement intuitive APIs.
- Engineer real-time, high-availability, and low-latency systems for fleet of self-driving vehicles. 
 
Qualifications:
- BS, MS, or PhD in Computer Scientist, Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
- Strong computer science fundamentals with an aptitude and willingness to quickly learn domain-specific concepts like 3D geometry and spatial data structures.
- Prove ability to work across various programming languages, seamlessly bridging high-level Python development with robust systems-level engineering in C++ or Rust.
- Solid experience in designing, developing, and deploying production-quality, fault-tolerant software at scale (moving well beyond prototypes/proofs of concept).
- Hands-on experience building distributed systems on modern cloud platforms.
 
Bonus/nice to have:
- A true generalist mindset: you enjoy wearing multiple hats, diving into unfamiliar codebases, and picking up new technologies as the mission dictates. 
- Prior experience with autonomous vehicles, HD mapping, or robotics.
- Familiarity with 3D geometry, geospatial systems, spatial databases, and tooling such as QGIS, GDAL, or PostGIS.
- Familiarity with Machine Learning pipelines or integrating AI models into production engineering systems.
- Experience with large-scale data processing systems and orchestration framework (e.g., Apache Spark, Airflow, Ray, Kafka).
- Open-minded and collaborative team player with strong willingness to help others.
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.