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Senior Machine Learning Engineer Jobs in Portland, OR

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

New

Turning Machinist, 1st Shift

Hillsboro, OR

$23.75 - $32.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Senior Machinist and Process Engineers to improve Cell processes. Qualifications * Generally ...

... machine learning solutions that have a direct impact on the business; help design and build ... a engineer-related occupation. Position requires: • Software Development • Testing ...

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Build and maintain machine learning models and AI services used in production environments * Design ...

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Build and maintain machine learning models and AI services used in production environments * Design ...

As a Sr. Hadoop developer you will work with a variety of talented client team mates and be a ... Storm Machine learning framework Statistical analysis with Python, R or similar Additional ...

Showing results 41-60

Senior Machine Learning Engineer information

See Portland, OR salary details

$63.1K

$134.2K

$194.6K

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

As of Jul 29, 2026, the average yearly pay for senior machine learning engineer in Portland, OR is $134,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $152,200.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Portland, OR? The most popular types of Machine Learning Engineer jobs in Portland, OR are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Portland, OR? For Senior Machine Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Portland, OR look for? The top searched job categories for Senior Machine Learning Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Senior Machine Learning Engineer jobs? Cities near Portland, OR with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $128,317 per year, or $61.7 per hour.

Sr Software Development Engineer

Workday, Inc.

Beaverton, OR • On-site

$177K - $234K/yr

Full-time

Re-posted just now


Workday rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

155th of 246 rated software companies


Job description

Your work days are brighter here.
We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.
About the Team
Workday is the cloud-based SaaS company providing industry-leading software for HR, financials, workforce planning and employee learning to more than 40% of the Fortune 500. We are the Machine Learning Product team at Workday. Our focus is on the application of machine learning and statistical analysis to Workday's products to serve our end users. We use diverse datasets to build data-driven products, which help the world's largest organizations uncover insights and make strategic decisions about their people, finances, and business. We routinely work on data with high velocity, volume and variety, and we employ a modern machine learning distributed computing and big data software stack to deal with these challenges.
About the Role
Plans, designs, develops and tests software systems or applications for software enhancements and new cloud-based products and internet related tools. Codes, tests, debugs, documents and implements software applications. Analyzes requirements, tests and integrates application components. Ensures that system improvements are successfully implemented. Analyzes, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked, or internet-related computer programs. Using current programming language and technologies, writes code, completes programming, and performs testing and debugging of applications. Completes documentation and procedures for installation and maintenance. May interact with users to define system requirements and/or necessary modifications. May oversee projects and/or programs, as assigned by management. Position may allow for partial telecommuting.
Salary Range: $177,861 - $234,000
About You
Basic Qualifications
Master's degree in Computer Science, Engineering, Information Technology, or related field plus two (2) years of experience in the job offered or related occupation.
2 years (24 months) of experience in object-oriented design and development;
2 years (24 months) of experience in algorithms and data structures;
2 years (24 months) of experience in programming language such as Python;
2 years (24 months) of experience in database and querying languages such as SQL;
2 years (24 months) of experience in MLOps; and
2 years (24 months) of experience in CI/CD pipelines such as Jenkins or Git.
Other Qualifications
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field plus five (5) years of experience in the job offered or related occupation.
5 years (60 months) of experience in object-oriented design and development;
5 years (60 months) of experience in algorithms and data structures;
5 years (60 months) of experience in programming language such as Python;
5 years (60 months) of experience in database and querying languages such as SQL;
5 years (60 months) of experience in MLOps; and
5 years (60 months) of experience in CI/CD pipelines such as Jenkins or Git.
Workday Pay Transparency Statement
Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here.
Primary Location: USA.OR.Beaverton
Our Approach to Flexible Work
Workday uses a hybrid Flex Work Model. Most roles require at least 50% in-person time each quarter in a Workday office or with customers, prospects, or partners, with specific expectations varying by role, team, country, and business needs.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.
Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.
If you require a reasonable accommodation, you should open a People Guide Request (current employees only), or you may email accommodations@workday.com, as far in advance as possible.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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About Workday

Sourced by ZipRecruiter

Workday's journey began with a transformative idea generated during a breakfast conversation between its founders in sunny California. What set us apart from the start was our people-centric culture, driven by the core value of prioritizing our employees. At Workday, the happiness, growth, and contributions of every team member are at the heart of who we are. Our collaborative and employee-focused culture is the key ingredient for our business success. We not only care for our people but also for the communities and the environment, all while maintaining profitability. Embrace your uniqueness, as we encourage our Workmates to shine brightly in their authentic selves. Our passion and energy make us distinct, and we are inspired to create a brighter workday for everyone.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

Pleasanton, CA, US

Year founded

2005