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Remote Deep Learning Engineer Jobs in Oregon (NOW HIRING)

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 ...

Care Access

Enterprise Performance Analytics Engineer

OR · Remote

$80K - $110K/yr

Stay current with modern data stack tools and techniques and apply learning to support data team ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

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 ...

Natera

Staff Machine Learning Scientist, Agentic AI

OR · On-site +1

Establish production-grade machine learning engineering standards and reproducible architectures ... Deep experience with agentic frameworks, such as LangChain or Claude Agent SDK, retrieval-augmented ...

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 ...

Upstart

Senior Security Engineer, Data Security

OR · On-site +1

$114K - $156K/yr

This is a highly impactful role that combines deep hands-on technical execution. You will design ... Remote - US Time Zone Requirements - This team operates on the East/West Coast time zones. Travel ...

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 ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Our iconic brand is built on the deep trust and loyalty of our customers established over our 170 ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ...

Remote Woman

Senior Solutions Architect

OR · On-site +1

Your deep fluency in modern, agentic engineering workflows and cloud architectures allows you to ... The freedom of remote work with the support of a diverse, global team has been our successful model ...

Instacart

Senior Detection Engineer

OR · Remote

$104K - $143K/yr

Deep understanding of attacker TTPs across modern zero trust environments, including identity ... Knowledge of machine learning for threat detection #LI-Remote

Upstart

Senior Software Engineer, Pricing

OR · On-site +1

$122K - $161K/yr

Background in finance / fintech, financial mathematics, statistics, or machine learning preferred ... directed; remote and in-person. * Deep experience with distributed systems, cloud-native ...

Sargent & Lundy

Senior Geotechnical Engineer

Description This is a remote/virtual position. Candidate can be based anywhere within the United ... Prepare and review specifications for subsurface investigations, deep foundations, ground ...

Sargent & Lundy

Mid-Level Geotechnical Engineer

Description This is a remote/virtual position. Candidate can be based anywhere within the United ... These engineering services include but are not limited to earth retention systems, deep and shallow ...

Rapta, Inc

Senior Software Engineer

Portland, OR · On-site +1

Deep curiosity for all software and systems architecture topics * Expert-level Python programming ... Professional development and learning opportunities * Opportunity to shape manufacturing technology ...

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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 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.

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
Lead Instructor: Agentic AI Engineering

Lead Instructor: Agentic AI Engineering

General Assembly

OR • Remote

$11K - $15K/wk

Other

Posted 17 days ago

Job description

Job Title: Lead Instructor: Agentic AI Engineering

Company: General Assembly

Client: Confidential - Customer Success Reskilling

Location: Remote (Must work West Coast / Pacific Time hours)

Duration: 2 Weeks (Starting Mid-June)

Commitment: Roughly 30 hours per week

Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)

About the Engagement

General Assembly is delivering an intensive reskilling program designed to transition experienced Customer Success and Account Management (CSAM) professionals into technical roles focused on Agentic AI Engineering.

As the Lead Instructor, you will lead the charge in teaching students how to design and build sophisticated multi-agent systems. You will move beyond theory to help learners master tool use, memory, and long-horizon planning. This is a high-impact, 2-week "sprint" where you will be the primary technical guide for a cohort of professionals entering the world of autonomous AI orchestration.

What You'll Do
  • Lead Live Technical Instruction: Deliver synchronous remote lectures and "build-along" sessions focused on designing agentic systems within Azure AI Foundry, Copilot Studio, and Semantic Kernel.
  • Facilitate Complex Labs: Guide students through hands-on exercises involving agent design patterns, multi-agent orchestration, and API integration.
  • Code Mentorship: Provide real-time troubleshooting and debugging support in Python as students build out their labs and capstone projects.
  • Translate Architecture: Break down complex systems-thinking and architecture concepts-such as memory management and planning in LLMs-into actionable steps for non-engineering professionals.
  • Office Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.
What You Bring
  • The Expertise: 7+ years in software engineering, with at least 2+ years of hands-on experience building and deploying agentic AI systems in a production environment.
  • The Tech Stack: Deep proficiency in Azure AI Foundry, Copilot Studio, and Semantic Kernel. (Experience with LangChain or LangGraph is highly valued as an adjacent skill set).
  • Core Skills: Expert-level Python proficiency, API design, and advanced prompt engineering. You should have a deep understanding of agent design patterns (tool use, planning, and orchestration).
  • Instructional Presence: Proven experience teaching technical topics or leading engineering teams. You must be comfortable engaging a remote audience and managing a fast-paced learning environment.
  • The Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.
  • Preferred Background: Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier-1 tech firm is a major plus.

Note on Schedule: This is a 2-week, high-intensity engagement starting in mid-June. The instructor must be available for 30 hours per week and must be able to work during West Coast (Pacific Time) business hours to support the learner cohort.

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