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Remote Full Stack Machine Learning Engineer Jobs in Oregon

Upstart

Software Engineer, Conversion

OR · On-site +1

... Machine Learning to launch new product flows, ship model upgrades, and continuously test and ... Maintain full-stack web applications through monitoring of key system metrics such as latency and ...

New

Instacart

Senior Software Engineer, Ads

OR · Remote

$122K - $161K/yr

By working closely with Product Designers, Product Managers, Data Scientists, Machine Learning ... About the Job As a Senior Engineer, you'll be integral to a full-stack team driving end-to-end ...

Varsity Tutors

Machine Learning Tutor

OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Eugene, OR · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Upstart

Senior Software Engineer, Site Reliability

OR · On-site +1

$57 - $75.75/hr

... and machine learning platforms, in a fast-paced environment * Improve incident response practices ... Full Stack development skills * Experience building tooling for an observability platform

Webflow

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

Remote-first (United States; BC & ON, Canada) * Full-time * Permanent * Exempt * Our cash ... Reporting to the Director, Engineering As a Senior Staff Machine Learning Scientist, you'll: * Lead ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

Build and integrate AI-enabled capabilities into applications, including machine learning models ... Familiarity with observability platforms (Prometheus, Grafana, ELK stack). * Experience with NoSQL ...

SOSi

Senior Data Scientist

OR · On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

Natera

Staff Machine Learning Scientist, Agentic AI

OR · On-site +1

Establish production-grade machine learning engineering standards and reproducible architectures across the AI team to ensure absolute model transparency and scientific auditability * Drive cross ...

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

Work with a world class team of engineers who are strong in both machine learning and software ... Location: Liftoff follows a philosophy of "remote first, come together meaningfully" and allows ...

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All JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Oregon

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 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 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 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:
Remote Full Stack Machine Learning Engineer jobs near you
Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Oregon as of June 2026, with employment types broken down into 84% Full Time, 10% Part Time, 3% Contract, and 3% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Software Engineer, Conversion

Software Engineer, Conversion

Upstart

OR • On-site, Remote

Other

Posted yesterday

Job description

The Team: 

The Conversion Engineering team sits at the intersection of product performance and business growth at Upstart. We are responsible for optimizing how borrowers move through the application journey-from rate check to funding-directly impacting Conversion Rate, one of the company's most important operating metrics and a key driver of revenue.

As a Software Engineer on the Conversion Engineering team, you will play a critical role in building and evolving the core borrower experiences that drive ~80% of company revenue. You'll work on highly visible, user-facing systems such as the funding form and got rate page, helping to shape both the technical direction and execution of key initiatives.

Our team builds and iterates on high-impact experiences while partnering closely with Product, Design, and Machine Learning to launch new product flows, ship model upgrades, and continuously test and personalize borrower journeys. This is a high-impact team with ambitious goals and significant headcount growth planned.

How you'll make an impact

  • Deliver critical user-facing features that improve loan application and rate check experiences-directly driving improvements in conversion and funding form submission metrics.
  • Maintain full-stack web applications through monitoring of key system metrics such as latency and error rates at scale
  • Help define and build the next-generation, platform funding form that supports multiple products, contributing to architectural direction and long-term scalability.
  • Strengthen engineering excellence by improving system performance, reliability, and on-call health for the features you build and own.

Minimum Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 3 years of experience
  • Experience delivering end-to-end features across frontend and backend systems, including APIs and microservices.
  • Strong frontend development experience building customer-facing web applications with a focus on performance, usability, and experimentation.
  • Experience working in cross-functional environments with Product, Design, and other engineering teams.

Preferred Qualifications

  • Experience improving conversion funnels or other high-scale, metrics-driven user journeys through experimentation (e.g., A/B testing, personalization).
  • Experience operating in a microservices-based architecture.
  • Experience in fintech or other highly regulated, high-availability environments.

Position location This role is available in the following locations: Remote 

Time zone requirements The team operates on the East/West coast time zones. 

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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