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Machine Learning Engineer Jobs in Corvallis, OR (NOW HIRING)

I&C Engineer IV Location: (Remote) About the Role System One is seeking an experienced I&C Engineer IV to support the design and development of advanced nuclear reactor systems. This remote ...

I&C Engineer IV Location: (Remote) About the Role System One is seeking an experienced I&C Engineer IV to support the design and development of advanced nuclear reactor systems. This remote ...

I&C Engineer IV Location: (Remote) About the Role System One is seeking an experienced I&C Engineer IV to support the design and development of advanced nuclear reactor systems. This remote ...

I&C Engineer IV Location: (Remote) About the Role System One is seeking an experienced I&C Engineer IV to support the design and development of advanced nuclear reactor systems. This remote ...

Test Technician 2

Corvallis, OR · On-site

$15.50/hr

Perform tasks to assist other technicians and engineers following instructions. * Understand the ... Learning opportunities around each corner. Our People are Our Pride - Benefits and Perk * Expected ...

Showing results 41-52

Machine Learning Engineer information

See Corvallis, OR salary details

$32.6K

$133.4K

$200.5K

How much do machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer in Corvallis, OR is $133,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $160,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Corvallis, OR? The most popular types of Machine Learning Engineer jobs in Corvallis, OR are:
What are popular job titles related to Machine Learning Engineer jobs in Corvallis, OR? For Machine Learning Engineer jobs in Corvallis, OR, the most frequently searched job titles are:
What cities near Corvallis, OR are hiring for Machine Learning Engineer jobs? Cities near Corvallis, OR with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Corvallis, OR as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,406 per year, or $64.1 per hour.

Refueling & Remote Handling Engineer 4

System One

Corvallis, OR • Remote

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 22 days ago


Job description

Job Title: Refueling & Remote Handling Engineer 4 Type: Direct Hire Work Model: Remote (travel to client sites as needed) Overview Step into a fully remote, direct-hire opportunity as a Refueling & Remote Handling Engineer (Level 4) supporting advanced nuclear operations. In this role, you’ll lead the design and development of remote/robotic reactor servicing tools and inspection equipment, partnering across engineering, systems, and operations to deliver safe, reliable refueling and handling solutions. Competitive salary and benefits, with travel to client offices as needed.

Responsibilities

  • Lead the development of innovative solutions to complex engineering problems related to fuel and reactor module handling, including remote disassembly, inspection, and assembly during reactor refueling.
  • Collaborate with cross-functional teams to design remotely operated or controlled automated, robotic, and tele-operated reactor servicing tools and inspection equipment.
  • Prepare, review, and validate engineering reports, system descriptions, specifications, drawings, and calculations focusing on reactor servicing tooling and inspection systems.
  • Work closely with the Nuclear Steam Supply System (NSSS) Component design organization to ensure systems interface properly with reactor servicing tools, meeting all functional and performance requirements.
  • Develop work sequences and handling plans in collaboration with Systems Engineering and Operations teams as part of an integrated tool design scheme.
  • Establish and maintain engineering standards and criteria; support procurement activities for equipment design, fabrication, and testing.
  • Act as a subject matter expert (SME), mentoring junior engineers and providing technical guidance to internal teams and external stakeholders.
  • Support and manage project timelines, workload, and deadlines to ensure project success.
  • Ensure compliance with safety and quality assurance standards including 10 CFR 50 Appendix B, 10 CFR 21, and NQA-1.
  • Perform other duties as assigned to contribute to team goals and project milestones.
Requirements
  • Bachelor’s degree in Mechanical, Electrical, or Nuclear Engineering from a four-year college or university; an advanced degree is preferred.
  • Minimum of 8 years of relevant professional experience in engineering design, particularly in mechanical handling equipment and systems.
  • Proven experience in implementing engineering design processes related to mechanical handling and robotic systems.
  • Proficiency in planning and preparing mechanical design documents for equipment and systems.
  • Experience working in a nuclear environment is a plus.
  • Must be eligible to work under Department of Energy 10 CFR Part 810.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#LI-LM1 Ref: #161-Managed Staffing Charlotte