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Remote Generative Ai Engineer Jobs in Oregon (NOW HIRING)

Senior Software Engineer FullStack (AI Apps)

OR · On-site +1

$122K - $161K/yr

Led by a pioneering AI researcher, we're a small remote-first team with a wide mission covering AI ... Role Summary As one of the early Senior Software Engineers at Near AI you'll be a key member of the ...

Principal Software Engineer, Unsecured Installments

OR · On-site +1

$134K - $180K/yr

Hands-on experience leveraging generative AI in product features or internal engineering workflows ... Remote, Burlingame, Columbus, Austin, New York Time Zone Requirements - This team operates across ...

... and Generative AI techniques at scale. Responsibilities * Sr AI Product Manager will play a key ... Coordinate and partner closely with Data Science, Engineering, finance, legal and other ...

Account Executive

OR · On-site +1

$80K - $100K/yr

Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and ... Fully remote The U.S. annualized pay range for this position is $80,000-$100,000 USD. In addition ...

Familiarity with AI-enabled workflows, generative AI tools, synthetic data, robotics simulation, or ... developer or enterprise audiences. Widely considered to be one of the technology world's most ...

Research Scientist, World Models

OR · On-site +1

$155K - $269K/yr

... engineers to integrate models into large-scale, distributed training and rendering pipelines ... generative AI, differentiable rendering, knowledge distillation/compression, and robotics.

Senior Data Scientist

OR · Remote

$84K - $112K/yr

In this role, the successful candidate will leverage Databricks, Generative AI, and advanced ... What We Look For in a Candidate 3-5 years of experience in data science, data engineering ...

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Drive active adoption of the latest AI-assisted engineering and security tools across the team ...

Skills in leveraging generative AI tools to accelerate campaign planning, quality assurance ... Remote [ A specific city/location is not required if the role does not have an in-person ...

Staff Backend Engineer - Core Product (USA)

OR · On-site +1

$210K - $290K/yr

Salary range: $210k - $290k USD* We're looking for strong backend engineers who love building ... Bonus: experience with LLMs/generative AI, distributed systems. What you'll get: * Competitive ...

Working knowledge of LLMs, generative AI, AI orchestration, integrations, and responsible AI ... Key Responsibilities Sales Engineering : You will lead technical discovery engagements with ...

Accounts Receivable Specialist

OR · Remote

$60K - $70K/yr

... remote environment and are used to working towards deliverable deadlines * Analytical problem ... Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and ...

New

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.

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

AI Software Engineer IV

Portland, OR · Remote

$103K - $141K/yr

This is a fully remote role open to candidates based in the United States. We collaborate ... Engineers and AI Engineers * Clear written and verbal communication, with the ability to work ...

Showing results 41-60

Remote Generative Ai Engineer information

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, and why are they important?

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 Oregon? The most popular types of Generative Ai Engineer jobs in Oregon are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Oregon? For Remote Generative Ai Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in Oregon look for? The top searched job categories for Remote Generative Ai Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Generative Ai Engineer jobs? Cities in Oregon with the most Remote Generative Ai Engineer job openings:

Senior Software Engineer FullStack (AI Apps)

Near AI

OR • On-site, Remote

$122K - $161K/yr

Other

Posted 20 days ago


Job description

About Near AI

Near AI is building the world's best user-owned open-source AI assistant - and the models, agent network, and privacy-preserving infrastructure powering it.  Our mission centers on democratizing access to AI technology that prioritizes human wellbeing above corporate interests. Led by a pioneering AI researcher, we're a small remote-first team with a wide mission covering AI research, infrastructure, and product development.

Near AI's founders have been involved in groundbreaking AI research, and also previously created the NEAR Protocol, a leading L1 blockchain. We're an AI company, not a crypto company, though we think blockchains can help serve our mission of building user-owned AI for the world.

Role Summary

As one of the early Senior Software Engineers at Near AI you'll be a key member of the team from day one.  We have lots to do and we prefer to give our engineers great latitude and independence to achieve their goals.  In return, we expect you to work hard and to work smart, leveraging the latest AI tools to build software with higher quality and more rapidly than any engineer could have just a few months ago. 

As a lean startup, we don't yet have formal levels or differentiated titles for our engineering roles, but we do value your experience and expertise and offer commensurate compensation and responsibilities.

We value engineers who balance technical excellence with pragmatic delivery, to build rock-solid technical foundations and leverage them to ship and iterate rapidly.  The ideal candidate brings a user-oriented mindset and can make thoughtful independent decisions on our users' behalf.

Together we'll figure out your best fit within Near AI, whether that's building our new consumer application, our platform for agent developers and model builders, the underlying hosted infrastructure, or our AI research efforts.

What You Will Do
  • Design and implement core features across our stack using Python, TypeScript, and/or Rust
  • Make thoughtful decisions about user and developer experience details without constant PM or design input
  • Determine appropriate engineering investments based on business context
  • Develop scalable, reliable code with appropriate testing and documentation
  • Collaborate effectively in our fully remote but synchronous environment
What You Bring
  • Strong engineering background with experience building and scaling production software
  • Product-oriented mindset: you instinctively consider user impact in technical decisions
  • Pragmatic approach to engineering: you know when to build for the long term vs. when to ship and iterate
  • Familiarity or expertise in our tech stack (Python, TypeScript, a little Rust).  If your expertise is in Python, you must also be an advocate for strong typing and robust technical architecture.
  • Experience with AI systems and infrastructure is strongly beneficial for most positions but not strictly required 
  • Self-directed work style with minimal supervision but maximal collaboration
Why Join Us?
  • Impact: Work on a genuinely important mission with potential for significant social impact
  • Growth: Join early with significant advancement and leadership potential, learn from respected industry leaders in AI research, attend and speak at industry events
  • Culture: Join a collaborative and passionate team, help shape company culture and technical direction from the ground up

Locations: San Francisco or remote