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

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

GE Aerospace

Software Engineer AI/ML

Salem, OR

$115K - $138K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ...

DataAnnotation

DevOps Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Software Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Frontend Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Mobile Software Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Backend Software Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Frontend Software Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Quality Assurance Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Senior Software Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Staff Software Engineer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

SDLC Engineer - AI Trainer

Salem, OR · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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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 Jun 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.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies 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 they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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.

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 June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $133,406 per year, or $64.1 per hour.
Machine Learning & Operations Engineer

Machine Learning & Operations Engineer

OptiTrack

Corvallis, OR • Remote

$71K - $96K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.

About the Role

OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.

This is a fully remote position, working cross-functionally with research and engineering teams.

What You’ll Do

  • Design and maintain automated ML training pipelines.
  • Build infrastructure for large-scale distributed experimentation.
  • Develop CI/CD workflows tailored for machine learning systems.
  • Orchestrate data ingestion, preprocessing, validation, and model versioning.
  • Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems.
  • Optimize GPU/compute utilization across cloud and on-prem environments.
  • Deploy, monitor, and maintain production ML models
  • Establish and enforce MLOps best practices including model registry, artifact management, and observability.
  • Improve system reliability, performance, and security.
  • Collaborate closely with ML researchers make new algorithms product ready.
  • More typical DevOps responsibilities for software development as required.

Requirements

Required Qualifications

  • 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience.
  • Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Hands-on experience with containerization (Docker) and orchestration
  • Experience managing GPU workloads and distributed training systems
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of automation, infrastructure reliability, and data pipelines
  • Ability to work with both European and US developers.

Preferred Qualifications

  • Experience with motion capture or computer vision systems
  • Familiarity with experiment tracking tools (MLflow, Weights & Biases, etc.)
  • Background in distributed systems or high-performance computing
  • Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow)
  • Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)
  • Experience with model optimization, inference acceleration, or edge deployment
  • Experience building tracking algorithms for device localization using techniques like SLAM
  • Strong problem-solving skills and attention to reproducibility
  • Comfortable working in a remote, collaborative environment, with international team members
  • Clear communicator who can bridge research and production engineering
  • Experience with image rendering pipelines in CryEngine.
  • Passion for building scalable AI infrastructure

Why Join OptiTrack?

  • Work on cutting-edge motion tracking systems
  • Contribute to technology used across robotics, animation, virtual reality, biomechanics, and virtual production
  • Remote-first flexibility
  • Opportunity to shape the next-generation of motion capture technology

Benefits

All benefits start on first day of employment!

  • 75% employer-paid medical for employee. Family coverage also included.
  • 100% employer paid dental, and vision for employee and dependents
  • 100% employer paid long-term, short-term disability, and life insurance policy
  • 401k Match, if you’re contributing 5% we match 4%. 100% vested immediately.
  • 10 paid holidays
  • Starting at 15 days paid PTO (inclusive of sick and vacation time) annually
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)

EEOC Statement:

OptiTrack is an equal opportunity employer, we believe in fostering a culture of equality, diversity, and inclusivity. Our commitment to this goal is clearly expressed in our zero-tolerance policy for discrimination and harassment of any kind, including on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status or any other characteristic protected by applicable federal, state, or local laws. Our hiring practices ensure that decisions are based solely on qualifications, merit, and current business needs, while extending to all aspects of our operations - from recruitment and promotion to layoff and recall, to leave of absence, compensation, benefits, and training. We are committed to remaining a drug free workplace