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

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site

$216K - $338K/yr

Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement ... Mentor and guide junior AI research engineers through project design, experiment execution, and ...

Agility Robotics

Staff AI Research Engineer

Salem, OR · On-site +1

$216K - $338K/yr

Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement ... Mentor and guide junior AI research engineers through project design, experiment execution, and ...

Lionbridge

Engineering Technician

Corvallis, OR · On-site

$18 - $21/hr

Follow Operations supervisor/manager and engineer's direction while displaying cooperative and ... Learning opportunities around each corner. Our People are Our Pride - Benefits and Perk * Expected ...

AMVT LLC

Service Technician

Albany, OR · On-site

... building Deep Learning AI models for custom sorting applications * Assist with shipping and ... machinery testing, installation, and service is preferred. * Degree in Mechanical Engineering ...

Infoblox, Inc.

Named Account Executive - PacNW

Salem, OR · On-site +1

Cultivate close working relationships with engineering and marketing counterparts to help identify ... Demonstrated understanding of Artificial Intelligence (AI), Generative AI, Machine Learning (ML ...

Agility Robotics

Senior AI Research Engineer

Salem, OR · On-site

$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 · 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.

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Showing results 21-40

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 Sep 10, 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 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 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 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 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:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Corvallis, OR as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 70% Full Time, 27% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $133,406 per year, or $64.1 per hour.

Staff Robotics Software Engineer, Robot Behaviors

Salem, OR • On-site, Remote

Agility Robotics
Industrial Automation Equipment Manufacturing • 51 - 200 employees
Learn more about Agility Roboticsexternal

$190K - $296K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 hours ago

Key responsibilities

  • Own the design, implementation, and validation of complex humanoid robot behaviors.

  • Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling.

  • Build new autonomy capabilities and develop manipulation strategies for new tasks, objects, workflows, and environments.

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
About the Role
We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot's capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them.
Key Responsibilities
  • Own the design, implementation, and validation of complex humanoid robot behaviors.
  • Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling.
  • Build new autonomy capabilities that expand what the robot can reliably do in the real world.
  • Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments.
  • Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems.
  • Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows.
  • Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack.
  • Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation.
  • Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance.
  • Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors.

About You
  • B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field.
  • 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities.
  • Demonstrated experience as a tech lead or senior technical owner for complex robotics projects.
  • Proficient in Python and C++, and comfortable contributing to large, long-lived codebases.
  • Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks.
  • Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots.
  • Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability.
  • Experience collaborating closely with perception, planning, controls, hardware, product, or field teams.
  • Strong ownership mindset with a focus on robustness, generalization, and real-world reliability.

Bonus Qualifications
  • Experience developing manipulation strategies for complex or unstructured environments.
  • Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies.
  • Experience deploying and supporting autonomous robots in real customer environments.

This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$190,000-$296,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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