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Remote Full Stack Machine Learning Engineer Jobs in Oregon

We're hiring a Senior Full Stack Engineer to help us build a petabyte-scale, high-performance observability platform with a laser focus on crafting an amazing developer experience . What You'll Do:

Machine Learning Engineer 5 - Globalization

OR ยท On-site +1

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. In ...

Principal Full Stack Software Engineer About JITX JITX is revolutionizing circuit board design by making it code-first. Instead of dragging components around in a GUI, engineers write code-or have AI ...

You will take full ownership of strategic AI/ML projects from vision and solution design through ... You will collaborate closely with clients, Sales, data scientists, ML engineers, and platform teams ...

Senior Software Engineer

OR ยท On-site +1

$122K - $161K/yr

Develop full-stack applications spanning front-end interfaces, back-end services, APIs, databases ... Experience integrating generative AI, machine learning, natural-language processing, or intelligent ...

... AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions ... Design and implement AI-powered features across the full stack, from backend inference services to ...

Full-stack experience contributing to backend services and APIs in a language such as Python, Java ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Showing results 21-40

Remote Full Stack Machine Learning Engineer information

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 are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

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 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:

Fullstack Software Engineer [Short Term Assignment] - FuzeRx

Fuze Health

OR โ€ข On-site, Remote

Full-time

Medical

Re-posted 3 days ago


Job description

Job Summary
At Fuze Health, we put patients first and tirelessly address the most pressing needs in healthcare. We empower millions to digitally connect with care providers, essential health resources and needed treatments - and enable care providers, employers, health plans and life sciences companies to meaningfully enhance quality, outcomes and value. We are dedicated to helping our partners evolve and modernize to meet emerging patient and marketplace needs.
Fuze Health's foundation is built upon the strategic combination of several proven, technology-powered innovators in the digital health, diagnostics, and pharmacy sectors. Our growing portfolio brings together the capabilities of industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy, to create a distinctive, unified force in healthcare. Together, we have the shared vision, advanced capabilities and talented teams to deliver next-generation solutions that patients and healthcare partners need today and into the future.
About Alto / FuzeRx
Alto provides an easier, more efficient and more affordable pharmacy experience for patients, providers, and partners. Our full-service, digitally-powered pharmacy makes it simple for patients to live their healthiest life, while our technology empowers partners with automated and customizable solutions for the entire pharmacy value stream. To learn more about Alto, you can review our Founders' Story and our Values.
We are looking for a highly skilled Full Stack Software Engineer to join our engineering team at Alto Pharmacy. At Alto the engineers are thought leaders and have a passion to build elegant software with high impact. You will work on industry disrupting platforms, on complex technical challenges that solve complex customer problems, together with your talented colleagues. This position will involve working on internal applications that serve commercial external customers, with a focus on both the backend and frontend. The ideal candidate will have experience with monolithic applications, Rails, and a strong passion for building scalable and high-performing software solutions. A background in health tech, pharmacy, or commerce technology is highly preferred.
Short Term Assignments typically last up to 6 months.
Job Description

Job Description

Accelerate Your Career as You

  • Design, build, and maintain scalable full-stack solutions for internal and external users.

  • Collaborate with product and business teams to deliver customer value.

  • Write clean, maintainable, and efficient code in Ruby on Rails and other modern programming languages.

  • Contribute to AI and machine learning initiatives and leverage them into existing platforms for better automation and prediction.

  • Ensure high availability, performance, and security of applications.

  • Troubleshoot and debug issues across high volume, high throughput, highly performant, and direct user interacting systems.

  • Passion for observability and operationalization, building alerting, and measuring the impact of the code you build.

  • Collaborate with cross-functional teams to drive innovation in software solutions.

  • Stay up-to-date with the latest software development trends and technologies.

A Bit About You

Minimum Qualifications:

  • Bachelors in Computer Science or related field

  • Minimum of 5+ years of experience as a Full Stack Software Engineer

  • Experience building and deploying applications in Ruby on Rails and decoupling them into externalized services with API interfaces.

  • Excellent knowledge of full-stack development, including frontend (HTML, CSS, JavaScript) and backend (databases, APIs, server-side technologies. multi-tenancy, workflow orchestration and choreography. long running saga patterns)

  • Experience working with databases, both SQL and NoSQL.

  • Ability to troubleshoot and optimize both frontend and backend systems.

  • Strong interest in AI technologies or experience integrating AI solutions.

  • Passion for building scalable, efficient, and high-quality software.

Preferred Qualifications:

  • Experience in health tech or pharmacy-related industries

  • Experience in supply chain or commerce technology

  • Familiarity with cloud services (AWS, GCP, or Azure)

  • Understanding of CI/CD processes and modern development workflows

  • Implement and maintain backend-for-front-end (BFF) architectures

  • Strong communication skills and ability to collaborate in a fast-paced environment

Short Term Assignments typically last up to 6 months.


Additional Information

Additional Physical Job Requirements

Physical requirements for this role include the ability to work at a computer terminal with monitor, keyboard and mouse for extended periods of time, stoop, bend, and reach for equipment and supplies, make frequent repetitive motions required to operate a computer that include the wrists, hands and fingers, and lift, carry, push, pull, and move light objects up to 20 pounds. The role also requires the ability to effectively communicate through verbal interactions, discern auditory information, and visually perceive details to perform essential job functions.

Consistent with the Americans with Disabilities Act (ADA) and similar applicable state laws, it is Alto's policy to provide reasonable accommodation to enable qualified individuals with disabilities to perform essential job functions, unless such accommodation would cause an undue hardship.

Salary and Benefits

Salary Range: $124,800 - $156,000

Commission Eligible: No

Travel: No - Required up to 0% of the time

Location Requirement: Employment at Alto is limited to individuals residing in the following states: Arizona, Arkansas, California, Colorado, Florida, Kansas, Maryland, Missouri, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Washington (WA), and Wisconsin.

Employment Authorization Requirement: Applicants must be authorized to work for any employer in the U.S. At this time, Alto is unable to sponsor or take over sponsorship of an employment Visa.

Benefits: STA (Short-Term Assignment) employees are eligible for legally required benefits, including paid sick time, workers' compensation insurance and unemployment insurance, as well as the Company's Minimum Essential Coverage (MEC) medical plan. This plan focuses on preventive care-including annual checkups, screenings, immunizations, and prenatal care-at no cost when services are provided by an in-network provider.

Application deadline: March 15, 2026

#LI-Remote

Equal Opportunity Employer

Fuze Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis. If you have a disability and require reasonable accommodation during any portion of the application or hiring process, please contact us at talent@fuzehealth.com.


Fuze Health considers qualified applicants with arrest or conviction records for employment and conducts background checks consistent with applicable law, including the California, Los Angeles County, San Francisco, Philadelphia, and New York City Fair Chance laws. We are an E-Verify participating company.


Use of Automated Decision Tools

Fuze Health recruiters and hiring managers may use automated decision tools to help identify candidates who match the stated job requirements, and to what extent. These tools are designed to help ensure fairness in all aspects of the hiring process by providing recruiters and hiring managers with data-backed insights based on information provided in your resume, including work experience, education, and other skills. Fuze Health does not use automated decision tools to make hiring decisions; hiring decisions always involve human review and input. If you have any questions or would like to request an alternative process, please contact us at talent@fuzehealth.com.


Privacy Notice

To learn about Fuze Health's privacy practices, including compliance with applicable privacy laws, please read our Privacy Notice for Job Applicants.