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Remote Large Language Model Llm Jobs in Oregon (NOW HIRING)

Waabi

Research Scientist, World Models

OR · On-site +1

$155K - $269K/yr

This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic ...

LTS

Senior Applied AI Engineer

OR · Remote

$122K - $161K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Demonstrated experience developing production AI applications powered by Large Language Models ...

Varsity Tutors

ChatGPT Tutor

OR · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Portland, OR · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

Varsity Tutors

ChatGPT Tutor

Eugene, OR · Remote

$18 - $40/hr

... of large language model limitations. Ability to explain effective prompt construction, context window management, and responsible AI usage while preparing students for productive and ethical AI ...

LTS

Agentic AI Security Engineer

OR · Remote

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Experience with Large Language Models (LLMs), AI applications, or Agentic AI platforms.

BOLD

Senior Prompt Designer II

OR · Remote

$101K - $108K/yr

... and model behaviour trade-offs. * Hands-on experience across LLM providers (OpenAI, Anthropic ... SELECT ONE: #LI-Remote

LTS

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Hands-on experience developing applications powered by Large Language Models (LLMs) and Generative ...

Egnyte

Sr. Manager, Professional Servces - AI

SENIOR MANAGER, PROFESSIONAL SERVICES - AI US REMOTE EGNYTE YOUR CAREER. SPARK YOUR PASSION. Egnyte ... including large language models, agentic AI frameworks, and prompt engineering methodologies.

Elite Technology

AI Technology Lead

OR · On-site +1

$202K - $225K/yr

Remote This role requires the individual to be based in Flexible across U.S. time zonestime zone ... Hands-on experience with Generative AI, including large language models, prompt engineering ...

Agility Robotics

Senior Manager, AI Innovation

Salem, OR · On-site +1

$268K - $364K/yr

... large language models (LLMs) applied to robotics. * Proven track record of managing scaling high ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

Grafana Labs

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... LLM integrations, and backend services that connect AI models to internal and third-party data ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... large-scale datasets * Experience with Agentic AI / LLM systems, including: * Tool-calling ...

Parachute Health

Staff Software Engineer, Applied AI

OR · Remote

$200K - $260K/yr

Prompt-engineer and iterate on LLM prompts and models. Evaluate and recommend improvements based on ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

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All JobsLarge Language Model Llm JobsRemote Large Language Model Llm JobsRemote Large Language Model Llm Jobs in Oregon

Remote Large Language Model Llm information

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

What are the key skills and qualifications needed to thrive as a remote large language model LLM engineer?

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

What is the difference between Remote Large Language Model Llm vs Data Scientist?

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Oregon? The most popular types of Large Language Model Llm jobs in Oregon are:
What are popular job titles related to Remote Large Language Model Llm jobs in Oregon? For Remote Large Language Model Llm jobs in Oregon, the most frequently searched job titles are:
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What cities in Oregon are hiring for Remote Large Language Model Llm jobs? Cities in Oregon with the most Remote Large Language Model Llm job openings:
Remote Large Language Model Llm jobs near you

Research Scientist, World Models

Waabi

OR • On-site, Remote

$155K - $269K/yr

Full-time

Re-posted 15 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

Waabi’s autonomous-driving stack is powered by Waabi World, which aims to deliver realistic, scalable, controllable, and efficient simulation. As a Research Scientist in World Models, you will develop algorithms and productionize the next generation of World Models that can reason about complex, dynamic 4D environments.
This role focuses on large-scale world models for temporal reasoning and generation, including video models, multimodal generative models, LLM/VLM/VLA models, and predictive models of traffic participants and scenes. Your work will directly power Waabi World’s ability to model future evolution, synthesize realistic safety-critical scenarios, and provide rich generative priors for downstream planning, testing, and training.
 

You will…

- Conduct fundamental and applied research in generative and predictive world-modeling

• Video generation and prediction.

• Latent diffusion / autoregressive / flow-matching models.

• Multimodal foundation models for driving scenes.

• LLM / VLM / VLA methods for scene understanding, reasoning, and control.

• Generative scenario modeling and controllable simulation.

• Model distillation.

- Collaborate with engineers to integrate models into large-scale, distributed training and rendering pipelines.

- Publish high-impact research at top conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICRA, SIGGRAPH).

- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.

- Stay on top of emerging advances in generative AI, differentiable rendering, knowledge distillation/compression, and robotics.


Qualifications:

- Demonstrated technical innovation:  You have a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research experience pushing the boundaries of a technical field..

- Strong prototyping and implementation:  You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals and experience with distributed training.

- Expert domain knowledge: You have built  generative or predictive models of the physical world with scale and efficiency in mind for real-world applications

- Team player:  You have worked in a close-knit team of researchers and engineers and have strong communication  to deliver successful projects. 

 

Bonus:

- Proven ability to translate research into production-quality code and measurable product impact.

- Demonstrated publications (first-author) in top-tier venues on topics such as world models, generative simulation, video prediction, diffusion, flow-matching, or foundation models for autonomy.

The US yearly salary range for this role is: $155,000 - $269,000 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.