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

... Machining Manufacturing Processes Mechanical Design Mechanical Engineering/Machine design ... Learning Agility Digital Fluency Customer Centricity Impact & Scope Impacts own work and acts as a ...

Senior Bridge Design Engineer

Salem, OR · Hybrid

$120K - $200K/yr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Senior Bridge Design Engineer

Salem, OR · Hybrid

$120K - $200K/yr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Senior Bridge Design Engineer

Salem, OR · Hybrid

$120K - $200K/yr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Senior Bridge Design Engineer

Salem, OR · Hybrid

$120K - $200K/yr

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

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 ...

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 ...

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.

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 1-20

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 13, 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.

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:
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.
Process and Tooling Engineer

Process and Tooling Engineer

Hp

Corvallis, OR • On-site

$73K - $113K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 10 days ago


HP rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

61st of 142 rated electronics manufacturers


Job description

Process and Tooling Engineer

Description -

This role is responsible for designing portions of engineering solutions (tooling and processes) and collaborating with internal and outsourced development partners. The role implements and validates test plans, conducts feasibility studies, and evaluates tooling suitability and effectiveness (DFM). The role involves managing relationships with partners and suppliers, providing technical guidance, and addressing cross-functional challenges through basic foundation of a function's principles, theories and concepts.
Responsibilities
Designs portions of engineering solutions for mechanical and thermal hardware, electronics enclosures, and production tooling based on established engineering principles and in accordance with development technology practices and guidelines.
Participates as a member of project team of other mechanical hardware engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for low to moderate to complex products.
Implements established test plans for existing designs, including validation of tolerances, form/fit/function, shock and vibration, process capability and margins.
Evaluate the failures of parts, tooling, or components and determine the root cause of failures.
Analyzes, optimizes, builds, tests, and refines rapid prototypes which integrate electrical, mechanical and software components.
Conducts feasibility studies, design margin and validation analyses and empirical testing on new and modified designs.
Manages relationships with outsourced partners and suppliers, on mechanical and thermal design and development, including setting expectations regarding deliverables, product quality, schedules, and costs.
Provides technical guidance to vendor teams in the resolution of challenges, support program level efforts.
Identifies and resolves challenges with the cross functional teams using technical experience and judgment and precedents and maintains all mission critical data center related mechanical system design requirements.
Education & Experience Recommended
Four-year Degree in Mechanical Engineering, Manufacturing Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 0-4 years of work experience, preferably in engineering design and solutions, implementation across process development lifecycle, or a related field.
Knowledge & Skills
3D Modeling (CREO, SolidWorks, Inventor....)
Ansys Simulation Software
Computer-Aided Design
Electromechanics
Engineering Design Process
Finite Element Methods
Injection Molding
Machining
Manufacturing Processes
Mechanical Design
Mechanical Engineering/Machine design fundamentals
Mechanical Systems
New Product Development (Design for Manufacturing)
Product Design
Prototyping
CAD
Sheet Metal
Statistical Process Control/Engineering Statistics/Sig Sigma/Lean Manufacturing
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts own work and acts as a team member by providing information, analysis, and recommendations in support of team efforts.

The pay range for this role is $73,800 to $113,650 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

* Health insurance
* Dental insurance
* Vision insurance
* Long term/short term disability insurance
* Employee assistance program
* Flexible spending account
* Life insurance
* Generous time off policies, including;
* 4-12 weeks fully paid parental leave based on tenure
* 11 paid holidays
* Additional flexible paid vacation and sick leave (US benefits overview
[https://hpbenefits.ce.alight.com/])


The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.

Job -

Engineering

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

25%

Relocation -

Yes

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


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About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939