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Remote Deep Learning Jobs in Oregon (NOW HIRING)

Teamed

$40 - $55/hr

Remote (Global), must occasionally be available to meet during Singapore business hours Type ... Transform existing materials (slides, documents, SME input) into structured learning assets

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 ...

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 ...

Fluxon

Senior Product Designer

OR · On-site +1

$140K - $180K/yr

Inside Fluxon, you'll find a global, remote-first team of experienced builders, who are curious ... on deep, uninterrupted work * A professional growth budget for learning that matters to you ...

Upstart

Principal Product Manager, Pricing Platform

OR · On-site +1

This role sits at the intersection of infrastructure and product, requiring deep platform thinking ... Partner with engineering, machine learning, and product teams across unsecured, auto, and home ...

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 ...

SOLV Energy

Operations Training Manager (Remote)

OR · On-site +1

$106K/yr

... deep technical understanding of the various systems and their application across enterprise-wide ... Utilize various formats (e.g., workshops, webinars, e-learning modules) to deliver training content.

Lumen Technologies

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

You will combine deep expertise in AI and machine learning with strong software engineering ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342925 Life at Lumen Life at Lumen is human and ...

Public Library of Science

Senior Software Engineer - FTC

OR · On-site +1

$130K - $142K/yr

This position is fully remote/home based. Applications will be accepted from candidates based in ... Deep understanding and experience of at least one server-side language. * Expertise in cloud native ...

BECU

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

Our "people helping people" philosophy has guided us since 1935, driving our deep commitment to ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

Fluxon

People Partner

OR · On-site +1

$70K - $85K/yr

Inside Fluxon, you'll find a global, remote-first team of experienced builders, who are curious ... on deep, uninterrupted work * A professional growth budget for learning that matters to you ...

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 ...

AcuityMD

Senior Product Manager

OR · On-site +1

$175K - $215K/yr

We value both deep PM craft (e.g., understanding user needs, making smart tradeoffs, and driving ... Reimbursements for relevant learning and up-skilling opportunities. * Remote work : AcuityMD is ...

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Showing results 21-40

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

Remote Deep Learning information

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

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

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

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

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

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 Remote Deep Learning jobs in Oregon?

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

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

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

Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 23% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Instructor: Agentic AI Engineering

General Assembly

OR • Remote

$11K - $15K/wk

Full-time

This job post has expired today. Applications are no longer accepted.

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.

Apply