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Artificial Intelligence Machine Learning Engineer Jobs in Oregon

... Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team ... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.

... using machine learning and Artificial Intelligence techniques. * Develop an exploratory data ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

... using machine learning and Artificial Intelligence techniques. * Develop an exploratory data ... Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics ...

AI Data Engineer Senior Consultant

Portland, OR · On-site

$121.40K - $145.80K/yr

Preferred : • Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field • Cloud or artificial intelligence or machine learning certification • ...

New

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are ...

OR · On-site

$205K - $355K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

OR · On-site

The Principal Engineer, Artificial Intelligence serves as a key leader in the development and ... Collaborate closely with business stakeholders, data scientists, machine learning engineers, and ...

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Artificial Intelligence Machine Learning Engineer information

See Oregon salary details

$33.3K

$136.1K

$204.6K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for artificial intelligence machine learning engineer in Oregon is $136,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $163,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Oregon? For Artificial Intelligence Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Oregon with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Oregon as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $136,146 per year, or $65.5 per hour.
Machine Learning (ML) Engineer

Machine Learning (ML) Engineer

Vectara

On-site, Remote

Other

Medical, Dental, Vision, PTO

Posted 23 days ago


Job description

Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, a optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing.

Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.

Job responsibilities 

  • Design, prototype, research and build AI systems for Vectara.
  • Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). 
  • Improve the quality of Vectara's AI Agents and RAG-as-a-service platform, working on features like multilinguality, self-supervised learning, agentic behavior and hallucination reduction.
  • Publish technical blogs, papers, and patents. 

Requirements:

  • BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field. 
  • 5+/4+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.
  • Strong domain knowledge in at least one of the following: RAG, LLM, information retrieval, Multimodal LLMs.
  • Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch.
  • Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE).
  • Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment.

Preferred requirements:

  • PhD in Computer Science/Engineering with 1+ years of industry experience. 
  • Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author. 
  • Experience as an ML engineer in an early-stage, high growth environment. 
  • Expertise in the following areas:
    • Embedding models, rerankers
    • Multimodal retrieval, question answering, and reasoning
    • Vector databases, BM25
    • Planning and reasoning in LLMs
    • Multilinguality in LLMs
    • NLG Evaluation such as hallucination detection

Location requirements:  We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. 

Equity and Salary Range: 

Salary is just one component of Vectara's employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn't highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.

Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture-we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.  

Perks and Benefits:

100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.