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Online Machine Learning Jobs in Portland, OR (NOW HIRING)

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or statistical methods is required: With a Master's degree, 7 years' of hands-on experience performing the ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or statistical methods is required: With a Master's degree, 7 years' of hands-on experience performing the ...

... Learning Platform has thousands of students looking for online Mechanical Engineering tutors ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Data Engineer

Beaverton, OR

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Statics Tutor

Portland, OR · Remote

$18 - $40/hr

... Tutors Live Learning Platform has thousands of students looking for online Statics tutors ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

... Learning Platform has thousands of students looking for online Statics and Dynamics tutors ... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving:

Showing results 41-60

Online Machine Learning information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do online machine learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for online machine learning in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What is online machine learning?

Online machine learning is a method where models are trained incrementally as new data becomes available, rather than being trained all at once on a fixed dataset. This approach is particularly useful in environments where data arrives continuously, such as real-time analytics, recommendation systems, and fraud detection. Online learning algorithms update their knowledge with each new data point, allowing them to adapt quickly to changes and trends. This makes them ideal for applications that require immediate responses and adaptability to evolving data streams.

What is the difference between Online Machine Learning vs Data Scientist?

AspectOnline Machine LearningData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related fields; certifications in ML or data analysisBachelor's or master's in CS, statistics, or related fields; advanced degrees often preferred
Work EnvironmentTech companies, startups, research labs; focus on real-time data processingCorporate, consulting, or research settings; focus on data analysis and modeling
Industry UsageMachine learning applications, AI development, real-time systemsData analysis, predictive modeling, business insights

Online Machine Learning specialists focus on developing algorithms that learn continuously from streaming data, often in real-time environments. Data Scientists analyze large datasets to extract insights, build models, and support decision-making. While both roles require knowledge of machine learning, Online Machine Learning emphasizes real-time data processing, whereas Data Scientists focus on data analysis and modeling for strategic insights.

How does collaboration typically work between online machine learning engineers and data scientists in a project setting?

Online machine learning engineers often work closely with data scientists to ensure that the models they develop can be effectively deployed and updated in real-time environments. While data scientists may focus on feature engineering, model selection, and initial training using historical data, online machine learning engineers are responsible for integrating these models into production systems and implementing mechanisms for continuous learning from live data streams. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth collaboration and ensure that the models remain accurate and efficient as new data arrives.

What are the key skills and qualifications needed to thrive as an online machine learning engineer?

To excel as an Online Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning algorithms, often supported by a relevant degree and experience with streaming data. Familiarity with tools such as Apache Kafka, Spark Streaming, Python, TensorFlow, and real-time data processing frameworks is critical. Problem-solving ability, adaptability, and effective communication are essential soft skills for collaborating with multidisciplinary teams and responding to rapidly changing data. These competencies are crucial for building scalable, responsive models that provide timely insights in dynamic production environments.
What are the most commonly searched types of Machine Learning jobs in Portland, OR? The most popular types of Machine Learning jobs in Portland, OR are:
Infographic showing various Online Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $45,160 per year, or $21.7 per hour.

Principal Data Scientist

Columbia Sportswear Company

Portland, OR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 24 days ago


Columbia Sportswear rating

7.0

Company rating: 7.0 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 104 rated fashion retailers


Job description

This position is designated as a hybrid role based out of our headquarters near Portland, Oregon. The current expectation is for employees to work onsite four days per week, subject to change based on business needs. This in-office requirement may be adjusted at the discretion of the company.
OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.
At Columbia, we're as passionate about the outdoors as you are. And while our gear is available worldwide, we're proud to be based in the Pacific Northwest, where natural wonders are our playground.
Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: "It's perfect. Now make it better." As pioneers of relentless improvement, we are constantly evolving.
We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.
And we believe in you.
ABOUT THE POSITION
Although we're an apparel and footwear-focused company, technology is central to everything we do. Columbia Sportswear's Digital Technology (CDT) group enables an IT infrastructure and applications across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.
The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization's pressing challenges and opportunities. This role will focus on developing end-to-end solutions, from prototyping to production-ready complex algorithms. The candidate will utilize advanced analytics to solve complex business problems and integrate findings into business processes. This role will have opportunities to engage across the organization with an area of focus in Direct-to-Consumer needs.
HOW YOU'LL MAKE A DIFFERENCE
  • Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
  • Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
  • Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve business performance across brands, regions, and channels
  • Audit existing analytical processes and provide guidance on implementing advanced machine learning capabilities according to industry standards
  • Under minimal supervision, establish and execute plans to build, implement and maintain predictive models using available tools and programming languages. Manage full life cycle of projects
  • Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows
  • Translate analytical findings and statistical models into measures of business impact and actionable recommendations
  • Drive best practices in applying and deploying Data Science at scale

YOU ARE
  • Aptitude to synthesize and create a cohesive picture from a wide variety of information sources
  • Solid time-management skills and able to work on multiple tasks or projects concurrently
  • Extremely organized, detail-oriented, resourceful and flexible
  • Strong interpersonal, written, communication and relationship-building skills
  • Able to work and collaborate with cross functional teams, including IT, and manage partner expectations
  • A strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia's Data Science practice.

YOU HAVE
  • Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
  • Minimum 3 years of experience as a Data Scientist, Statistician or related position
  • Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data
  • Demonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithms
  • Broad understanding of core statistical and ML techniques
  • Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS
  • Proficient in the use of visualization tools, Power BI preferred
  • Experience with Microsoft Stack preferred

#LI-JD1
This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.
Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf. If you need reasonable accommodation because of a disability for any part of the employment process, please notify your recruiter.
At Columbia Sportswear Company, we're proud to offer regular full-time employees a benefits package that includes a variety of services and products to help make your life and work more rewarding. Our benefit programs contribute to overall employee well-being by aligning those programs with the fundamental elements of well-being: physical, social/emotional, financial, career and community. Benefits that can protect your family's financial future and help you save money through our 401k plan plus a generous company match. Columbia offers medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account, and an assortment of voluntary benefit offerings (accident, critical illness, hospital indemnity, and legal services). In addition, Columbia offers EAP + which is free and confidential 24/7/365 counseling services. We have extensive wellness benefits, employee discounts and a generous time off program available.
If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the Subject: Applicant Assistance Requested.

What Columbia Sportswear employees say

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About Columbia Sportswear

Sourced by ZipRecruiter

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

Industry

Apparel and accessories stores

Company size

5,001 - 10,000 Employees

Headquarters location

Portland, OR, US

Year founded

1938

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