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Executive Full Stack Machine Learning Engineer Jobs in Oregon

LTS

Full Stack Product Engineer

OR · On-site +1

The work has executive backing, real users, and a customer who knows exactly what they're buying ... The Full-Stack Product Engineer takes agent capability and turns it into product. End-to-end ...

OneStudyTeam

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 ...

Cresta

OR · On-site

$104K - $143K/yr

About the role We are looking for a Senior Machine Learning Engineer, Voice Experience to help ... Diagnose and mitigate failure modes across the voice stack, including transcription errors ...

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204K - $326K/yr

As a Principal Machine Learning Engineer on the Agentic AI team, you will: * Leverage frameworks ... executives * Remain on the cutting edge of agentic AI emerging paradigms, driving product ...

AcuityMD

OR · On-site

$122K - $161K/yr

Own the full model lifecycle: exploratory analysis, baseline modeling, experimentation, validation ... You are fluent in Python's data and ML stack and opinionated about your preferred approaches ...

Netflix

OR · On-site

$388K - $558K/yr

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from ... We are seeking talented Full-Stack Engineers to join us in developing end-to-end solutions that ...

Cresta

OR · On-site

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

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Executive Full Stack Machine Learning Engineer information

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

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 Executive Full Stack Machine Learning Engineer jobs in Oregon? For Executive Full Stack Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Oregon with the most Executive Full Stack Machine Learning Engineer job openings:
Executive Full Stack Machine Learning Engineer jobs near you

Full Stack Product Engineer

LTS

OR • On-site, Remote

Other

Posted 6 days ago

Job description

LTS is seeking a Full-Stack Product Engineer to join a small, senior engineering team applying frontier AI to one of the most consequential legacy systems still running in production today.

The mission: build agents that read, translate, and modernize a decades-old codebase that millions of people quietly depend on. The work has executive backing, real users, and a customer who knows exactly what they're buying. Specifics shared once we're talking.

The team is small by design. Every seat carries unusual leverage, and we hire people who are already deep in this work. We use AI tooling natively - agents in parallel, model as collaborator, no exceptions.

What You'll Do:

The Full-Stack Product Engineer takes agent capability and turns it into product. End-to-end feature delivery across the surfaces engineers actually use to do their work - code understanding, code translation, modernization authoring. Pairs tightly with the Principal Designer in code: Designer absorbs visual-heavy surfaces, the Full-Stack Engineer owns logic-heavy surfaces (authoring, review, agent integration).

  • End-to-end feature delivery across the product - code understanding, code translation, modernization authoring, review surfaces.
  • Build the frontend in modern React with a serverless TypeScript backend.
  • Pair tightly with the Principal Designer in code - Designer absorbs visual-heavy surfaces, the Full-Stack Engineer owns logic-heavy surfaces (authoring, review, agent integration).
  • Write specs, ship, watch usage, iterate; close the loop from design through deploy.
  • Push back on a spec you think is wrong before writing the code.
  • Own the product-quality bar across the surfaces you ship - performance, accessibility, polish, and the moment-to-moment feel.
  • Integrate agent output into product surfaces in a way that respects both engineering correctness and user trust.

What We're Looking For:

  • Bachelor's degree in Computer Science, Engineering, or a related field, plus 5 years of professional full-stack engineering experience; equivalent experience may substitute for the degree requirement.
  • Track record of shipped product features that can be walked through in detail - including how the design changed once real users got their hands on it.
  • Ability to work in a fast-paced, collaborative environment.
  • Senior full-stack engineer; both frontend and backend are part of the daily job.
  • Modern React (hooks, suspense, recent patterns); strong TypeScript fluency.
  • Comfort across a serverless cloud backend: typed RPC, ORM-level work, AWS or comparable.
  • Density of shipped work - recent product features that real users used, with measurable iteration after launch.
  • Pushes back on a spec when wrong; doesn't wait for permission to ship.
  • Heavy native use of AI tooling: subagents, model as collaborator.
  • Demonstrated experience in a remote work environment.

Nice to Have:

  • Prior developer-facing or technical-user-facing products (IDEs, observability tools, internal platforms).
  • Experience visualizing complex graphs or code relationships (call graphs, dependency trees, AST views).
  • Design sense good enough to ship polished UI without a designer on everyday work.
  • Experience pairing with a designer directly in code rather than via Figma handoff.
  • Public open-source work or shipped side projects with visible craft.

What's in it for you? 

  • The opportunity to support high visibility federal missions in IT and healthcare
  • A culture that values innovation, growth, collaboration, and quality
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together! 

Apply