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Remote Generative Ai Engineer Jobs in Eugene, OR

Roseburg Forest Products

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Working knowledge of AI prompt engineering and the effective application of generative AI capabilities within D360 to support data analysis, reporting, automation, and business intelligence workflows.

micro1 AI

Director of Biostatistics

Eugene, OR · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your ...

micro1 AI

Director of Biostatistics

Eugene, OR · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Pipeworks Studios

Level Designer

Eugene, OR · On-site +1

$109K/yr

As part of a co-development team, the designer will collaborate closely with developers at ... Ability to work with AI behaviors, gameplay objects, scripted events, triggers, and environmental ...

Pipeworks Studios

Level Designer

Eugene, OR · On-site +1

$70K - $92K/yr

As part of a co-development team, the designer will collaborate closely with developers at ... Ability to work with AI behaviors, gameplay objects, scripted events, triggers, and environmental ...

All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Eugene, OR

Remote Generative Ai Engineer information

See Eugene, OR salary details

$38.2K

$116.4K

$192.3K

How much do remote generative ai engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote generative ai engineer in Eugene, OR is $116,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,400.00 and $152,200.00 per year, depending on experience, location, and employer.

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

What are the most commonly searched types of Generative Ai Engineer jobs in Eugene, OR?

The most popular types of Generative Ai Engineer jobs in Eugene, OR are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Eugene, OR?

For Remote Generative Ai Engineer jobs in Eugene, OR, the most frequently searched job titles are:

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The top searched job categories for Remote Generative Ai Engineer jobs in Eugene, OR are:

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Cities near Eugene, OR with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you

BI Data Engineer

Roseburg Forest Products

Springfield, OR • On-site, Remote

$52.75 - $68.50/hr

Full-time

Re-posted 18 days ago

Roseburg Forest Products rating

7.7

Company rating: 7.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

Job description

Description
Purpose
The BI (Business Intelligence) Data Engineer will be responsible for designing, administering, implementing, and maintaining an enterprise business intelligence platform. Your mission is to build useful, powerful, easy-to-use experiences for investigating data.
This position will collaborate with a team of engineers to deploy Tableau and build interfaces to help push forward a self-service analytics culture enabling business users to quickly and easily find what they're looking for better than they can today.
Responsibilities include architecture, design, development, testing, and support of a new Tableau system working in conjunction with Data Warehousing team members as well as end-users from a variety of departments.
Success in this position requires self-motivation, strong technical ability, cross-functional communication, mentoring, team, and leadership skills.
The candidate will be required to accurately estimate, plan and execute work assignments. This individual is recognized within the team as a subject matter expert of technical and process needs. This person will influence standards and best practices, lead challenging projects and contribute to the overall strategic direction for the team and company.
Key Responsibilities
  • Design, develop, test, and deploy Business Intelligence analytics and reporting solutions
  • Lead the design, development, and maintenance of data integration, services, etc. to provide the right data to the right place at the right time
  • Ensure designed systems are highly reliable, self-recovering, and require little or no supporting manpower
  • Collaborate with business stakeholders to develop an understanding of their business and operational processes to develop Tableau interfaces and reports and develop self-service reporting solutions
  • Develop dashboards visualizing a wide variety of topics
  • Manage solution enhancement/defect backlog lists and continuously deliver agreed upon improvements through design, development and testing
  • Evaluate new and existing data streams for data analysis and presentation proof of concept development
  • Train users on how to use solutions through user focused documentation including written and video documentation
  • Mentor and develop technical competency of junior team members
  • Perform and/or lead necessary tuning of database and ETL systems and objects to ensure timing and performance goals are met
  • Collaborate with existing and prospective users to define Data Warehousing and Business Intelligence requirements
  • Model Company core values
  • Other duties as assigned

Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Mathematics, or related area of study; or equivalent combination of education and/or relevant work experience
  • 3+ years' experience in Tableau
  • Working knowledge of AI prompt engineering and the effective application of generative AI capabilities within D360 to support data analysis, reporting, automation, and business intelligence workflows.
  • Hands on experience with SQL and non-SQL databases like Oracle, SQLServer, or similar
  • Hands on experience with Data Marts for Reporting, Dashboards and Analytics
  • Proficient relational database experience. The individual must have an excellent command of SQL. (MS SQL Server preferred)
  • 3+ years of experience in data integration, ETL, and data management or comparable positions that handle large/complex data sets, developing automation,
  • Proficient in understanding of data management practices, data architecture principles, and data governance process
  • Knowledge of Tableau best practices in performance tuning and user-centric design, proactive alerts, etc
  • Proficient in understanding of data mapping and lineage strategies
  • Excellent written communication and presentation skills

Preferred Qualifications
  • Tableau Certification

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