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Remote Machine Learning Jobs in Oregon (NOW HIRING)

Treliant LLC

Credit Model Specialist

$75 - $150/hr

Experience using Machine Learning packages and evaluating Machine Learning algorithms in consumer ... Remote Primary Location Salary Range: $75/hr - $150/hr Treliant offers a comprehensive, total ...

micro1 AI

Engineering AI Evaluator (PhD)

Portland, OR · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Portland, OR · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

LTS

Lead Forward Deployed Engineer (FDE)

OR · On-site +1

$102K - $134K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident required LTS is seeking a ... AI, machine learning, and other emerging AI technologies. * Guide the design of scalable data ...

New

AmeriSave Mortgage Corp.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... machine learning workflows. Leverage Python for data preparation, model training, and result ...

LTS

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... AI, machine learning, and other emerging AI technologies where appropriate. * Design secure ...

New

Media.Monks

$130K/yr

Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices. * Identify ...

Posted today

Monks

Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices. * Identify ...

New

Bluesight

Data Scientist

OR · Remote

$130K - $150K/yr

Develop and productionize machine learning models for a range of healthcare products, including ... This position is a remote position and open to applicants in the continental United States. Why ...

Natera

Sr. Scientist

OR · On-site +1

San Carlos, CA, Austin, TX, or Remote, USA Sr. Scientist -CKD and rare disease Job Summary Natera ... Utilize machine learning and statistical modeling to uncover patterns that inform clinical decision ...

New

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Oregon

Remote Machine Learning information

See Oregon salary details

$27K

$45K

$93K

How much do remote machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote machine learning in Oregon is $45,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,400.00 and $48,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
More about Remote Machine Learning jobs
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 Remote Machine Learning jobs in Oregon? For Remote Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Oregon look for? The top searched job categories for Remote Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote Machine Learning jobs? Cities in Oregon with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $45,023 per year, or $21.6 per hour.
Principal Data Architect | Remote

Principal Data Architect | Remote

Lifeway Christian Resources

Remote

Full-time

Medical, Retirement, PTO

Posted 24 days ago

Job description

Overview

Lifeway is seeking a Principal Data Architect to serve as a senior technical and strategic leader responsible for designing, governing, and evolving our enterprise data landscape. Working closely with our Business Intelligence and Master Data teams, you will set the architectural direction for data integration, warehousing, master data management, and AI-readiness across the organization. This is a remote role with significant cross-functional influence - ideal for a seasoned data architect who is energized by both technical depth and strategic leadership in a mission-driven environment.

Why Lifeway? 

Lifeway is a place where you can bring your faith and work experience to join in the most important mission in the world: making disciples of Jesus Christ. Whether you're a creator or storyteller, data guru or problem-solver, or anywhere in between, if you're passionate about serving the church, we have a place for you. Lifeway has a strong Work from Anywhere (WFA) culture that is deeply focused on our mission and values. While headquartered in Nashville, TN, many of our positions are remote-eligible and have autonomy and flexibility with work hours. We provide equipment and resources to ensure team members have access to a productive and ergonomic workspace. We believe building relationships and community is essential to how we work together, so Lifeway hosts all-team meetings several times per year and provides travel for key team gatherings for remote-based team members. Full-time employees are eligible for enrollment in our comprehensive benefits plans including healthcare, vacation and sick time, holiday pay, care days, 401(k) plan, maternity and paternity leave, adoption assistance, mission trip time, and more.If this sounds like a place where you would be excited to serve the kingdom of God, we would love for you to join our team.

Learn more about our culture at team.lifeway.com/culture-code 

This is a remote position in the U.S. with occasional travel to Nashville for in-person team gatherings. #LI-Remote 

Responsibilities
  • Lives out Lifeway's mission and values, showing deep commitment to Kingdom work
  • Define and maintain the enterprise data architecture roadmap, aligning data strategy with long-term business priorities and technology goals
  • Lead the design and evolution of data platforms including data warehouse and lake-house architecture
  • Develop and champion a Data Mesh strategy enabling domain-oriented data ownership, self-serve data infrastructure, and federated governance
  • Architect and oversee enterprise data integration patterns including batch ETL, real-time streaming, and event-driven architectures
  • Establish standards for data pipelines, transformation logic, lineage tracking, and integration frameworks across on-premises and cloud environments
  • Lead efforts to make the organization's data AI-ready to support machine learning and AI applications
  • Drive adoption of data contracts and data product thinking to improve reliability and trust in data assets
  • Lead the design of Master Data Management integrations and provide technical leadership across MDM initiatives
  • Act as a strategic advisor on data initiatives across business units, ensuring architectural soundness and alignment with enterprise standards
  • Provide technical mentorship and architectural guidance to data engineers, BI developers, and MDM Software Engineers
  • Limited travel: 2-4 times per year, typically overnight
Qualifications

Education

Bachelor's degree Computer Science, Data Engineering, or a related field, required

Masters degree in a related field, preferred

Advanced graduate degree (PhD, etc.), not required

Skills, Knowledge, & Experiences, required

  • 10+ years of progressive experience in data engineering, software development, or data architecture roles
  • 5+ years in a senior or principal-level data architecture capacity with ownership of enterprise-scale data programs
  • Deep expertise in data warehousing strategies (Inmon, Kimball, lake-house architecture)
  • Proven experience designing Data Mesh architecture including domain ownership models and data product definitions
  • Strong background in ETL/ELT design and data integration patterns including batch, micro-batch, and streaming
  • Hands-on experience with enterprise integration platforms (Kafka, dbt, Airflow or equivalents)
  • Experience with cloud data platforms such as Snowflake, Microsoft Fabric, or Google BigQuery
  • Proficiency in Python, SQL, Scala, or Java with experience in modern software delivery practices
  • Deep knowledge of Master Data Management principles, tooling, and implementation patterns
  • Ability to travel to the Middle Tennessee area 2-4 times annually for team gatherings 

Actively involved in an evangelical Christian church

Skills, Knowledge, & Experiences, preferred 

  • Master's degree in Computer Science, Data Engineering, or a related field
  • Familiarity with data cataloging, metadata management, and data observability tools
  • Experience with data governance frameworks and regulatory compliance requirements
  • Ability to build and present data architecture roadmaps tied to measurable business outcomes
Employment Type: FULL_TIME

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