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Generative Ai Phd Jobs in Oregon (NOW HIRING)

Vantor

Applied AI Scientist

OR · On-site

$128K - $215K/yr

Stay current with the latest advances in foundation models, generative AI, multimodal learning, and ... MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a ...

Intel

AI Infrastructure Engineer

Hillsboro, OR · On-site

$170K - $315K/yr

... generative AI workloads. What You Will Do Drive Inference Performance: Own the end-to-end ... PhD. 3+ years of relevant software engineering experience in GPU computing, AI systems, or high ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

Master's or PhD in a quantitative field such as Computer Science, Mathematics, Engineering, or a ... Deep experience in NLP, LLMs, Generative AI, and/or Reinforcement Learning. * Experience in health ...

Upstart

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

You will oversee risk across a diverse and growing inventory of models and Generative AI ... PhD in a quantitative field of study such as statistics, econometrics, finance, mathematics; or a ...

CookUnity

Director, Data Science/ML

OR · On-site +1

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Familiarity with generative AI and LLM applications in product contexts * Experience building data ...

Nvidia

Senior AI Researcher - World Foundation Models

OR · On-site +1

PhD in Computer Science, Graphics, Computer Engineering, or a closely related field (or equivalent ... Hands-on experience improving generative models with a focus on perceptual quality and temporal ...

CookUnity

Senior Data Scientist, Retention & Product

OR · On-site +1

MS/PhD preferred. * Ability to leverage generative AI to increase output quality and speed. Preferred requirements: * Subscription marketplaces, food-tech, or consumer marketplaces with a retention ...

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Generative Ai Phd information

What is a generative AI PhD?

A Generative AI PhD is a doctoral program focused on researching and developing artificial intelligence systems that can generate new content, such as text, images, music, or code. Students in this program study advanced machine learning techniques, including deep learning, neural networks, and probabilistic models. The goal is to push the boundaries of what AI can create, leading to innovations in fields like natural language processing, computer vision, and creative arts. Graduates often pursue careers in academia, research labs, or tech companies working on cutting-edge AI technologies.

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

To thrive as a Generative AI PhD, you need deep expertise in machine learning, mathematics, and computer science, typically supported by a doctoral degree in a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with large-scale data and cloud computing are essential. Strong research acumen, critical thinking, and the ability to clearly communicate complex ideas are vital soft skills for success in academic or industry settings. These skills drive innovative research, enable effective collaboration, and ensure impactful contributions to the rapidly evolving field of generative AI.

What are some common challenges faced when transitioning from academic research to an industry role as a generative AI PhD?

One common challenge is adapting to faster-paced project timelines, as industry work often emphasizes practical results and product integration over long-term theoretical exploration. Additionally, collaboration across multidisciplinary teams—including software engineers, product managers, and designers—requires strong communication skills to translate complex research into actionable solutions. Many new hires also find it necessary to balance advancing the state-of-the-art with addressing immediate business needs, which can shift the focus from pure research to more applied problem-solving.

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

AspectGenerative Ai PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, AI, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, industry projects
Employer & Industry UsageAcademic institutions, research firms, AI labsTech firms, software companies, AI product teams

Generative Ai Phds focus on advanced research, developing new models and theories in AI, often working in academic or research settings. Machine Learning Engineers implement AI models into products, working in industry environments to develop scalable solutions. While both roles require strong AI knowledge, the PhD emphasizes research depth, whereas the Engineer emphasizes application and deployment.

What are popular job titles related to Generative Ai Phd jobs in Oregon?

For Generative Ai Phd jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Generative Ai Phd jobs in Oregon look for?

The top searched job categories for Generative Ai Phd jobs in Oregon are:

What cities in Oregon are hiring for Generative Ai Phd jobs?

Cities in Oregon with the most Generative Ai Phd job openings:

Generative Ai Phd jobs near you
Infographic showing various Generative Ai Phd job openings in Oregon as of August 2026, with employment types broken down into 55% Full Time, 11% Part Time, 8% Temporary, and 26% Contract. Highlights an 76% In-person, and 24% Remote job distribution.

AI Scientist Senior II

Portland, OR • On-site

Cambia Health Solutions
Health Care and Social Assistance • 1 - 5K employees

8.4

Company rating: 8.4 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

123rd of 313 rated insurance

People enjoy working here

Good employer

Paid breaks

Learn more about Cambia Health Solutionsexternal

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Position Summary

AI Scientist Senior II – Hybrid (3 days/week in office). Eligible for locations in Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo. Must live within commutable distance or be willing to relocate. Build AI solutions that make health care easier and lives better.

Responsibilities
  • Design, develop, and implement data‑driven AI solutions for clinical care delivery, customer experience, and payment integrity.
  • Architect and build sophisticated AI systems, writing production‑quality code, conducting rigorous experiments, and establishing best practices.
  • Mentor junior AI scientists, influence technical direction, and drive cross‑functional initiatives with Product, Engineering, and Business teams.
  • Lead the adoption of advanced generative AI, machine learning, and deep learning techniques, integrating them into scalable production pipelines.
  • Partner with stakeholders to identify high‑impact AI opportunities, translate ambiguous business challenges into measurable AI projects, and quantify business ROI.
  • Manage end‑to‑end lifecycle: data engineering, model development, MLOps, responsible AI governance, and continuous monitoring in production.
Qualifications

• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics (or equivalent).

  • 12+ years of related experience (education/experience equivalence considered).
  • Expert in generative AI, machine learning, deep learning, and advanced AI/ML techniques.
  • Proficient in Python, software engineering principles (design patterns, testing, CI/CD), and MLOps.
  • Strong SQL and data‑engineering skills; experience with complex query optimization and data‑pipeline design.
  • Hands‑on experience with noisy, high‑dimensional, sparse, imbalanced, and biased real‑world data across claims, clinical, and member engagement domains.
  • Knowledge of healthcare industry (preferred); familiarity with payer operations, regulations, and trends.
  • Excellent communication skills, able to present technical concepts to technical teams and C‑level executives.
  • Leadership presence, mentoring ability, and a track record of influencing technical decisions and delivering results.
What You Will Do
  • Lead the design and architecture of complex multi‑component AI systems and define technical standards.
  • Research, prototype, and implement cutting‑edge AI techniques to solve healthcare challenges.
  • Translate ambiguous business problems into clear AI initiatives, design experimentation strategies (A/B testing, causal inference), and communicate ROI to stakeholders.
  • Build and maintain scalable AI data pipelines, ensuring data quality, governance, and compliance with HIPAA.
  • Mentor junior scientists, share knowledge through workshops and technical presentations, and support hiring and onboarding.
  • Champion responsible AI practices, including bias detection, fairness, transparency, and accountability, ensuring regulatory compliance.
Benefits & Compensation
  • Competitive base pay, 401(k) with significant company match, and performance‑based bonus.
  • Medical, dental, vision, mental health benefits, and health‑savings‑account contribution.
  • Paid time off, holidays, parental leave, and wellness programs.
  • Work‑from‑home flexibility where allowed.

Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, national‑origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status, or any other status protected by law.

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