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Volunteer Machine Learning Jobs in Oregon (NOW HIRING)

OR

$205K - $355K/yr

Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience in building ML models for advertising products * Proven ...

OR · On-site

$170K - $334K/yr

Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team ... machine learning at scale * Experience with recommendation systems, deep learning models, feed ...

OR · On-site

$104K - $143K/yr

As a Senior Machine Learning Platform Engineer, you will architect and scale the ML platform that ... Paid time off programs, including volunteer time off * Market-competitive pay and incentive ...

Previous experience in Machine Learning Use Case Development and Operations experience * Industry ... Community brand in volunteer tech communities like AI Users Group or open-source projects The ...

OR · On-site

$135K - $225K/yr

Design and develop data products and machine learning models embedded within client-facing ... Voluntary Life and AD&D Insurance * Health Savings Account, Health Care & Dependent Care Flexible ...

OR

$85K/yr

Develop and deploy machine learning models, and data-driven tools that enhance predictive analytics ... Paid personal and volunteer leave * 13 paid holidays * 15 weeks paid parental leave * Professional ...

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

... using advanced machine learning and LLMs. * Design cloud-native microservices and APIs that ... Voluntary benefits (hospital, accident, critical illness) * Employee Assistance Program (EAP)

Data Scientist

OR · On-site +1

$75K - $140K/yr

BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... Develop, validate, and deploy statistical and machine learning models that help identify member ...

BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... While you'll leverage statistical and machine learning models, success in this role is defined by ...

Sr Data Scientist - Marketing Analytics

OR · On-site +1

$91K - $169K/yr

BECU Cares volunteer time off + donation match To join our dynamic team, we require candidates to ... While you'll leverage statistical and machine learning models, success in this role is defined by ...

Solid understanding of fundamentals in software engineering, statistics and machine learning ... Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at ...

$66.25 - $80/hr

Strong understanding of AI, machine learning, intelligent automation, enterprise data architecture ... Have fun and celebrate and give back - Team building activities, community volunteering, quarterly ...

Senior Solutions Engineer - Northeast

OR · Remote

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Paid Volunteer Time * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Senior Product Growth Manager

OR · Remote

$140K - $170K/yr

Our product uses machine learning, artificial intelligence, and data to make intelligent decisions ... Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization * Paid Parental Leave

You will work with data engineering, analytics, machine-learning, and data science teams to deliver ... voluntary time off (VTO), tuition reimbursement, adoption assistance program, other optional ...

Data Analyst I

OR · On-site +1

$67K/yr

The ability to build predictive models using regression and machine learning techniques * The ... Paid sick, personal, and volunteer leave * 13 paid holidays * 15 weeks paid parental leave

Senior Security Engineer

OR · Remote

$150K - $160K/yr

Our product uses machine learning, artificial intelligence, and data to make intelligent decisions ... Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization * Paid Parental Leave The ...

Product Manager

$140K - $160K/yr

... and reliable to ensure machine learning (ML) success. But preparing AI training data is a ... volunteer time, and 100% paid parental leave. * 401(k) Retirement plan with company match.

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Volunteer Machine Learning information

See Oregon salary details

$8

$20

$35

How much do volunteer machine learning jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for volunteer machine learning in Oregon is $20.23, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $21.35 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Volunteer Machine Learning position, and why are they important?

To thrive as a Volunteer Machine Learning professional, you need a solid understanding of machine learning concepts, data analysis, and basic programming skills, typically demonstrated through coursework, personal projects, or relevant certifications. Familiarity with tools such as Python, TensorFlow, scikit-learn, and collaborative platforms like GitHub is often expected. Strong communication, collaboration, and adaptability are vital for contributing effectively within diverse volunteer teams. These skills and qualities enable volunteers to make meaningful technical contributions while supporting the goals of nonprofit or research-focused projects.

What types of projects or tasks can I expect to work on as a Volunteer Machine Learning contributor?

As a Volunteer Machine Learning contributor, you may work on a wide variety of tasks such as preparing and cleaning datasets, developing or enhancing machine learning models, conducting data analysis, and documenting results for open-source or nonprofit initiatives. Projects can range from building predictive models for social impact organizations to supporting data-driven research or assisting with educational outreach. You’ll typically collaborate remotely with other volunteers, data scientists, and project managers, often using shared code repositories and communication tools. This role provides valuable hands-on experience and networking opportunities within the growing field of machine learning.

What is a Volunteer Machine Learning job?

A Volunteer Machine Learning job involves contributing to machine learning projects without monetary compensation, often for nonprofits, open-source initiatives, or research. Volunteers may help with data preprocessing, model training, evaluation, or deployment. It’s a great opportunity to gain hands-on experience, collaborate with professionals, and apply ML skills to meaningful causes.

What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Volunteer Machine Learning jobs in Oregon? For Volunteer Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Volunteer Machine Learning jobs in Oregon look for? The top searched job categories for Volunteer Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Volunteer Machine Learning jobs? Cities in Oregon with the most Volunteer Machine Learning job openings:
Infographic showing various Volunteer Machine Learning job openings in Oregon as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $42,085 per year, or $20.2 per hour.
Senior Machine Learning Engineer - Ads

Senior Machine Learning Engineer - Ads

Nextdoor

OR

$205K - $355K/yr

Other

Posted 7 days ago


Job description

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform, including newsfeed, notifications, ad relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be integral to making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. 

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

The Impact You'll Make
  • You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will work closely with the Product and Data Science teams on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
  • Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
  • Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly
  • Deploy ML models into production environments and integrate them into the product
  • Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics
  • Collaborate with other engineers and data scientists to create optimal experiences on the platform
  • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
  • Build in-person relationships with team members and contribute to Nextdoor's company culture
What You'll Bring To The Team
  • B.S. in Computer Science, Applied Math, Statistics, Computational Biology, or a related field
  • 5+ years of industry/academic experience in applying machine learning at scale
  • Experience in building ML models for advertising products
  • Proven engineering skills. Experience in writing and maintaining high-quality production code
  • Ability to work with and analyze large amounts of data
  • Ability to succeed in a dynamic startup environment
Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.

The starting salary for this role is expected to range from $205,000 to $355,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid #LI-Remote