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Remote Full Stack Machine Learning Engineer Jobs in Oregon

... the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

$105K/yr

Full Stack Developer Location: Remote Clearance: Must be eligible to obtain a Public Trust (US ... Interest in machine learning concepts. * Coursework, certifications, or personal projects in AWS ...

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

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ... Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.

Full-Stack Software Engineer

OR · Remote

$120K - $150K/yr

Position Overview We're looking for a Full-Stack Software Engineer to help build the technology ... remote environment Preferred Qualifications * Experience building edtech or language learning ...

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

... learning and growth. If working in an environment that encourages you to innovate and excel, not ... US East/Canada (Remote) Role Overview: We're looking for a Full Stack Software Developer to design ...

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

For the right candidate we may consider remote. Experienced full stack software engineer who has a ... Enthusiasm for keeping current with advances in AI and machine learning, with the ability to ...

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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Showing results 1-20

Remote Full Stack Machine Learning Engineer information

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

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oregon? The most popular types of Full Stack Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Oregon? For Remote Full Stack Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Oregon with the most Remote Full Stack Machine Learning Engineer job openings:
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Oregon as of May 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 93% Physical, and 7% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

HealthEdge

On-site, Remote

Full-time

Posted 27 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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