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Senior Machine Learning Software Engineer Jobs in Portland, OR

Require an experienced Senior Software Engineer (C#) to support a Metrology Equipment Software Project. This project involves developing and enhancing advanced software solutions for motion control ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Science, Software Engineering, Artificial Intelligence and Robotics preferred - Crafting and ...

Software Engineer, Sr

Newberg, OR

$128.60K - $169.60K/yr

Independently applies knowledge of software engineering principles to design, code, troubleshoot ... learning and career advancement. A background check and screen for the illegal use of drugs is ...

Software Engineer, Sr

Newberg, OR · On-site

$128.60K - $169.60K/yr

Independently applies knowledge of software engineering principles to design, code, troubleshoot ... learning and career advancement. A background check and screen for the illegal use of drugs is ...

Senior Software Engineer

Portland, OR · On-site

$103K - $116.10K/yr

As a Senior Software Engineer at Resource Data, you will join a team of consultants leading complex technical work and resolving ambiguous business challenges. The Senior Software Engineer drives the ...

Senior Software Engineer

Portland, OR · On-site

$103K - $116.10K/yr

As a Senior Software Engineer at Resource Data, you will join a team of consultants leading complex technical work and resolving ambiguous business challenges. The Senior Software Engineer drives the ...

Software Engineer / C#

Portland, OR · On-site

$72 - $78/hr

Azad, Inc is seeking a Senior C# Sofware Engineer for a full time, W2 positions based in Beaverton ... Experience with subsystems such as machine control, diagnostics, safety, or physical components is ...

As a member of DataAnnotation's coding team, 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 ...

As a member of DataAnnotation's coding team, 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 ...

As a member of DataAnnotation's coding team, 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 ...

As a member of DataAnnotation's coding team, 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 ...

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Showing results 1-20

Senior Machine Learning Software Engineer information

See Portland, OR salary details

$80.1K

$152K

$203.6K

How much do senior machine learning software engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior machine learning software engineer in Portland, OR is $151,961.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,900.00 and $171,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Software Engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What are some common challenges Senior Machine Learning Software Engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What is a Senior Machine Learning Software Engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Portland, OR? For Senior Machine Learning Software Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Portland, OR look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Senior Machine Learning Software Engineer jobs? Cities near Portland, OR with the most Senior Machine Learning Software Engineer job openings:
Infographic showing various Senior Machine Learning Software Engineer job openings in Portland, OR as of May 2026, with employment types broken down into 95% Full Time, and 5% Temporary. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $151,961 per year, or $73.1 per hour.
Software Engineer

Software Engineer

Noblesoft Technologies

Hillsboro, OR • On-site

Contractor

Posted 25 days ago


Job description

Position- Software Engineer- C#, Motion Control, Metrology

Type          : Day 1 onsite (5 days a week)

Location  : Hillsboro, Oregon (Preferred) or Milpitas, California ,USA

Job description:

About the Role:

Require an experienced Senior Software Engineer (C#) to support a Metrology Equipment Software Project. This project involves developing and enhancing advanced software solutions for motion control, stage calibration, and automation within semiconductor metrology systems. The ideal candidate will have a strong background in C# development, motion control systems, and hardware-software integration within a semiconductor or high-precision equipment environment.

Key Responsibilities:

  • Design, develop, and maintain C# applications for stage and motion control systems used in semiconductor metrology equipment.
  • Implement and optimize stage calibration, axis mapping, tip-tilt correction, and motion algorithms to achieve precision system performance.
  • Integrate software with motion controllers, cameras, encoders, and robotic subsystems.
  • Troubleshoot and resolve issues related to hardware communication, real-time control, and system synchronization.
  • Collaborate with cross-functional teams including hardware, mechanical, and systems engineers to ensure seamless equipment functionality.
  • Participate in data collection, system testing, and calibration activities for metrology hardware.
  • Document software design, test procedures, and integration workflows according to engineering best practices.