ZipRecruiter

Log In

1

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

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site +1

$195K - $304K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

Agility Robotics

Senior AI Research Engineer

Salem, OR

$195K - $304K/yr

Develop core reinforcement learning infrastructure, including scalable training pipelines and ... Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch.

AutoStore

Senior Software Engineer

Salem, OR · On-site

$123K - $162K/yr

Are a curious individual who loves continuous learning and improvement, with an engineering mindset that thrives on solving complex problems. * Bachelor's Degree in Computer Science or the equivalent ...

Active911

Software Engineer (Active Comms)

Philomath, OR · On-site

$80K - $120K/yr

Continuous Learning: Stay current with industry best practices, emerging technologies, and ... Proficiency in programming languages such as TypeScript, C++, Kotlin, and Swift. * Experience with ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Corvallis, OR

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 Jul 15, 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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.

More about Machine Learning Engineer jobs
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 cities near Corvallis, OR are hiring for Machine Learning Engineer jobs? Cities near Corvallis, OR with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Corvallis, OR as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,406 per year, or $64.1 per hour.
Refueling & Remote Handling Engineer 4

Refueling & Remote Handling Engineer 4

Protingent

Corvallis, OR • On-site, Remote

$127K - $153K/yr

Full-time

Re-posted 29 days ago

Job description


Job Title: Refueling & Remote Handling Engineer 4
Position Description: Protingent Staffing has an exciting contract Refueling & Remote Handling Engineer 4with our client.
Job Description:
  • The Refueling and Remote Handling Group is responsible for fuel and reactor module handling, including its remote disassembly, inspection, and assembly during reactor refueling.
  • The group provides for the design of remotely operated or controlled automated, robotic, and tele-operated reactor servicing tools and inspection equipment for use in a variety of operating environments.
  • The mission of the group is to provide efficient, safe, and reliable tools, equipment and processes that ensure refueling outage performance objectives are achieved.

Job Responsibilities:
  • Leads the development of resolutions to complex problems that require the frequent use of creativity and innovation.
  • Provides and utilizes system engineering input in the development of reactor servicing tools, inspection equipment, and control systems.
  • Prepares, checks, and reviews engineering reports, system descriptions and specifications, drawings, calculations, and other design documents with particular emphasis on reactor servicing tooling and inspection systems, machine and component design. Works on complex tasks in multiple and diverse areas.
  • Work collaboratively with the Nuclear Steam Supply System (NSSS) Component design organization to ensure adequate features are provided to interface with our reactor servicing tools to ensure that functional and performance requirements are met.
  • Works closely with Systems Engineering and the Operations group to develop work sequences and handling plans as part of an integrated tool design scheme.
  • Leads the development and maintenance of engineering standards and criteria.
  • Assists in the planning and organization of complex engineering work. Performs innovative and complex engineering assignments on a team dedicated to the development of an engineered product; interprets scope and requirements of projects; develops alternative methods to achieve project goals.
  • Supports and manages procurement of activities related to equipment design, fabrication and testing activities.
  • Acts as the subject matter expert (SME) both internal and external to the RRH group and greater Plant Engineering organization in terms of utilizing proven technical approaches and engineering standards to solve problems in technical areas of expertise.
  • Mentors and trains other engineers in sound approaches and standards for solving problems in technical areas of expertise.
  • Self-manages workload and deadlines.
  • Performs other duties as assigned.

Job Qualifications:
  • Education: A B.S. degree in Mechanical, Electrical, or Nuclear Engineering from a four-year college or university is required. An advanced engineering degree is preferred. A PE license in Mechanical, Electrical, or Nuclear Engineering is desirable.
  • Experience: A minimum of 8 years of full-time, directly relevant professional experience is required. Must have demonstrated experience in implementing engineering design processes to design mechanical handling equipment and systems. Must be proficient in planning, preparing, and checking mechanical design documents for mechanical equipment and systems. Prior experience operating in a nuclear operating environment.
  • Industry Requirements: Eligible to work under Department of Energy 10 CFR Part 810.

Job Details:
  • Job Type: Direct Hire
  • Salary Range: $127,104-$153,401
  • Location: Remote

About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
Meet Your Recruiter
Tina Sturgeon

Apply