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Remote Machine Learning Jobs in Oregon (NOW HIRING)

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

We are a remote-first company, and you should be comfortable working with a distributed global team. * Some flexibility may be required to collaborate across time zones with colleagues and clients.

As a pivotal member of our Machine Learning (ML) team, you'll spearhead the architecture and ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

New

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ...

New

Technical Architect - Machine Learning

OR · Remote

$66.25 - $80/hr

Remote (USA/Canada) Description: As an Architect - Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to ...

The Team Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager ... US Remote Time Zone Requirements - This team operates on the East/West Coast time zones. Travel ...

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role ... We are a remote-first company, and you should be comfortable working with a distributed global team.

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91.40K - $124.90K/yr

We're looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems ... Remote-first (United States; BC & ON, Canada) * Full-time * Permanent * Exempt * Our cash ...

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

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Remote Machine Learning information

See Oregon salary details

$27K

$45K

$93K

How much do remote machine learning jobs pay per year?

As of May 29, 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 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 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.

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 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.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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.

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 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:
Infographic showing various Remote Machine Learning job openings in Oregon as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 58% Full Time, 38% Part Time, 1% Temporary, and 1% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $45,023 per year, or $21.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

HealthEdge

On-site, Remote

Full-time

Posted 26 days ago


Job description

Overview

Machine Learning Engineer, AI Platform 

 As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering, product, and delivery organizations, including customer-facing operations. You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals to understand their workflows, identify high-leverage opportunities, and deliver working solutions end-to-end. Your growing expertise in machine learning and agentic AI will have a direct impact on how HealthEdge builds software, delivers for customers, and operates at scale. 

Key Responsibilities 

  • AI Platform Development: Develop and implement AI Agents and automation that accelerates internal engineering workflows and customer facing delivery processes, owning the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and production deployment. Contribute reusable libraries, prompt templates, tool-use patterns, and evaluation scaffolding back to the AI Platform. 
  • Integration: Partner with software engineers to integrate AI into the company's existing software infrastructure, supporting seamless functionality and performance. 
  • Collaboration: Work directly with product managers, implementation consultants, engineers, and business operations teams to identify pain points, scope solutions, and iterate toward measurable outcomes. You are the bridge between what AI can do and what the business needs done. 
  • Research and Learning: Stay current with advancements in LLMs, agentic frameworks, machine learning,  and healthcare technology, and apply new knowledge to contribute ideas for innovation within the team. 
  • Performance and Reliability: Optimize AI systems for accuracy, latency, cost, and safety, with particular attention to human-in-the-loop design and guardrails appropriate for healthcare. 
  • Documentation: Maintain clear documentation of model development processes, methodologies, and results to ensure transparency and reproducibility. 
  • Required Qualifications 

    • Education: Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor's degree with relevant experience will also be considered. 
    • Experience: 2-4 years of experience building and deploying ML or AI systems in production. Experience working directly with non-technical stakeholders or in embedded/consulting-style engineering roles is a strong plus. 
    • Technical Skills: Strong proficiency in Python. Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and prompt engineering alongside traditional ML frameworks (PyTorch, scikit-learn, etc.). Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating across the full development lifecycle. 
    • Healthcare Knowledge: Interest in or familiarity with healthcare data, clinical workflows, and regulatory requirements. Experience working with electronic health records (EHR) or other healthcare datasets is a plus but not required. 
    • Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets to derive actionable insights. 
    • Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. 
    • Builder Mindset: Energized by turning ideas into working solutions. You balance speed with quality, thrive in ambiguous problem spaces, and pick up new domains quickly. 
    • Team Player: Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to the success of the team. 

    HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers. 

    Geographic Responsibility: While HealthEdge is located in Boston, MA you may live anywhere in the US 

    *Note this role requires proof of US residency for the last consecutive 5 years*

    Type of Employment: Full-time, permanent 

    Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:  

    • The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. 
    • Work across multiple time zones in a hybrid or remote work environment. 
    • Long periods of time sitting and/or standing in front of a computer using video technology. 
    • May require travel dependent on company needs. 

    The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.  

    HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. 

    #LI-Remote 

    **The annual US base salary range for this position is $130,000 to $165,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education. 

    Employment Type: FULL_TIME

    HealthEdge logo

    About HealthEdge

    Sourced by ZipRecruiter

    Health Edge ® provides modern, disruptive technology that delivers for the first time, a suite of products that enables healthcare payors to leverage new business models, improve outcomes, drastically reduce administrative costs and connect everyone in the healthcare delivery cycle. Our next-generation enterprise product suite, HealthRules ®, is built on modern, patented technology and is delivered to customers via the HealthEdge Cloud or on-site deployment. An award-winning company, HealthEdge empowers payors to capitalize on the innovations, challenges and opportunities that await in the new healthcare economy. For more information, visit .

    Industry

    Computer and computer peripheral equipment and software wholesalers

    Company size

    201 - 500 Employees

    Headquarters location

    Burlington, MA, US

    Year founded

    2005

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