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Remote Deep Learning Engineer Jobs in Oregon (NOW HIRING)

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 ...

Webflow

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

Remote-first (United States; BC & ON, Canada) * Full-time * Permanent * Exempt * Our cash ... Reporting to the Director, Engineering As a Senior Staff Machine Learning Scientist, you'll: * Lead ...

Amat

Algorithm Engineer III Senior - (E3)

Portland, OR · On-site +1

$140K - $192K/yr

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce ... Experience deploying deep learning and machine learning models Experience designing and deploying ...

Upstart

Senior Manager, Machine Learning

OR · Remote

Tackling unique, deep-modeling challenges such as competing risk, collateral, and recovery modeling ... Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan ...

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 ...

Armada

Distinguished Engineer / Technical Fellow

OR · Remote

... 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 ...

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 ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site +1

$185K - $288K/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

Principal Engineer, LLM

OR · On-site +1

Deep expertise in LLM-specific infrastructure such as inference optimization (quantization, ONNX ... Remote USA/Canada with quarterly travel. Time zone requirements The team operates on the East/West ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

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 ...

BECU

Staff Performance Engineer - SDET

OR · On-site +1

$110K - $204K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Share Knowledge & Foster Learning: Contribute to internal learning sessions, technical discussions ...

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All 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 Jun 18, 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.

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 are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

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.

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 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 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
Machine Learning Tutor

Machine Learning Tutor

Varsity Tutors

Portland, OR • Remote

$40/hr

Part-time

Posted 16 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Machine Learning Tutor
  • Advanced Subject Mastery: Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric interpretation. Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ROC curves. Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance beyond accuracy. Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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