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

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Develop, fine-tune, and deploy large language models (LLMs) and domain-specific ML models. * Build and maintain data pipelines, embeddings, and vector databases to support agent intelligence.

Cresta

Lead Engineer - AI Agent Voice Experience

OR · On-site +1

Solid understanding of transformer-based models, embeddings, retrieval systems, and large-scale ... Remote work setup budget or work-from-home stipend * Monthly wellness and communication allowance

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Architect and scale LLM and retrieval-augmented generation pipelines that ground models in ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Comet

DevRel

OR · On-site +1

$180/hr

... content, gets excited about new models and frameworks the day they drop, and knows how to ... Technical depth: comfortable coding in Python, building LLM applications, and talking confidently ...

Musixmatch S.p.a

Security Practice Lead

OR · On-site +1

... or remote work. We are a hybrid company. * Italian and English language lessons. * Top-class tech ... The gross annual base salary for this role is 60,000-70,000, calibrated on experience and seniority.

Pallet

Strategic Sales - Remote

OR · Remote

$250K - $350K/yr

... modeling that convert to Pallet. * Document deal patterns, repeatable use cases, and expansion ... Comfortable selling technical, workflow-heavy products with a baseline understanding of LLM/AI, if ...

micro1 AI

Digital Chemistry Specialist - Remote

Bend, OR · Remote

$90 - $120/hr

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

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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:
What job categories do people searching Remote Large Language Model Llm jobs in Oregon look for? The top searched job categories for Remote Large Language Model Llm jobs in Oregon are:
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

Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Kiewit Corporation

OR • Remote

$136K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Kiewit Corporation rating

7.7

Company rating: 7.7 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

24th of 80 rated construction

Job description

Requisition ID: 180215 

Job Level: Mid Level 

Home District/Group: Kiewit Nuclear Solutions 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Digital Model / BIM Automation Developer to support the processing, transformation, and delivery of engineering models across enterprise-scale EPC projects. This role is responsible for managing and scaling automated pipelines that deliver critical 3D model data to thousands of users daily.

This is a highly technical, operations-focused role within the Digital Project Execution (DPE) team, requiring strong programming, data handling, and systems expertise. The position plays a key role in ensuring reliability, scalability, and performance of model delivery systems, while continuously improving automation processes to support rapid organizational growth.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

Responsibilities

Model Processing & Delivery

  • Process, convert, and prepare engineering models for downstream use in UniversalPlantViewer (UPV) / Universal Digital Twin Hub / UDITH
  • Manage and support the daily delivery of 100+ models to 3,000+ users across projects
  • Ensure model quality, consistency, and availability across environments
  • Troubleshoot model processing failures and implement corrective actions

Automation & Optimization

  • Develop, enhance, and maintain automation pipelines for model processing and delivery
  • Identify opportunities to reduce manual intervention and improve system reliability
  • Optimize existing workflows for performance, scalability, and maintainability
  • Implement monitoring and alerting for critical automation processes

Systems & Infrastructure Support

  • Support general systems administration tasks related to model processing environments
  • Maintain and improve infrastructure supporting automated workflows
  • Ensure systems are stable, secure, and performant under increasing scale

Data & Integration

  • Work with structured data using SQL to support model metadata and integration workflows
  • Integrate model data with downstream systems and platforms (e.g., Common Data Environments, analytics tools)
  • Support data transformation and validation processes

Continuous Improvement & Scaling

  • Contribute to scaling operations in a rapidly growing environment (~5x growth over recent years)
  • Improve reliability and maintainability of model delivery systems
  • Support onboarding of new projects and increased model volumes
Qualifications

Technology stack

Primary:

  • Universal Plant Viewer (UPV)
  • Python (preferred)
  • SQL Server / Azure SQL
  • Model processing tools and formats (e.g., SmartPlant Review, Navisworks, 3D model platforms)
  • Automation frameworks / scripting

Supporting:

  • Azure-based ecosystem (Data Factory, Databricks, Data Lake)
  • CI/CD and scripting tools

Required qualifications

  • Experience processing and converting engineering models
  • Strong proficiency in a modern programming language (Python preferred)
  • Engineering or construction industry experience (EPC environment preferred)
  • Strong SQL skills for data manipulation and integration
  • Proven ability to automate complex processes and workflows
  • Strong systems and infrastructure fundamentals (systems administration experience preferred)
  • Highly proficient in problem solving and troubleshooting complex technical issues
  • Strong foundational knowledge of computers, data structures, and coding principles
  • Ability to quickly learn new tools, systems, and workflows
  • Strong sense of ownership and accountability for delivering business-critical systems
  • Experience supporting high-availability systems used by large user bases (thousands of users)
  • Experience documenting functional requirements, technical designs, and data workflows.
  • Excellent written and verbal communication skills.

 

PREFERRED QUALIFICATIONS

  • Background in data analytics or data engineering
  • Experience training or supporting end users

BONUS EXPERIENCE

  • Knowledge of engineering design tool ecosystems (Hexagon Smart Suite).
  • Experience supporting data environments tied to project lifecycle systems.
  • Exposure to large-scale project-based data environments.

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

What Kiewit Corporation employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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