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Ml Platform Engineer Jobs in Oregon (NOW HIRING)

BetterHelp

OR

As a Staff ML/AI Platform Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for ...

Chainguard

Software Engineer (Libraries Platform)

OR · Remote

Provides shared services across language ecosystems (Java, JavaScript, Python/AI/ML and beyond ... Comfortable working across SRE / platform / DevOps style responsibilities, including reliability ...

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

Flexential Corp.

OR · On-site

... ML/AI tooling. * Partner with other IT and business teams for App Dev, requirements capture ... Represent platform engineering in cross-functional architecture reviews and executive-level program ...

Natera

OR

We are seeking a hands-on Senior Workday Platform Engineer within the G&A IT Applications team to ... ML), integrations, security, and release management. This is a builder-first role. You will ...

RoadRunner Recycling Inc.

Platform Engineer Manager

OR · On-site +1

$160K - $205K/yr

We are seeking a highly motivated, empathetic, and technically sharp Platform Engineering Manager ... Preferred ML Ops experience, or otherwise willing to learn * Experience creating technical scopes ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

... science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI ... solutions. This role is hands-on and delivery-oriented: you will ship production pipelines and ...

SentinelOne

OR

As a Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of ... ML infrastructure in a production environment. * Strong Python skills, ideally with FastAPI, and ...

SentinelOne

OR · On-site

$104K - $143K/yr

As a Senior Staff AI Platform Engineer, you will be tasked with serving as a hands-on builder of ... ML infrastructure in a production environment. * Strong Python skills, ideally with FastAPI, and ...

Netflix

OR · On-site

The teams partner closely with the broader ML organization (ML Platform, Recommendations ... You'll drive partnerships with Merchandising, Product Management, Data Science & Engineering to ...

Instacart

Staff Software Engineer, Data Infrastructure

OR · Remote

$114K - $137K/yr

You'll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You'll operate ...

The Avian Consulting LLC

MLOps Engineer

Portland, OR · On-site

MLOps Engineer Location: Portland, OR (5 days Onsite), they may ask for F2F client interview. We ... Ensure security, governance, and compliance for ML platforms. * Troubleshoot production issues and ...

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Ml Platform Engineer information

See Oregon salary details

$35

$67

$100

How much do ml platform engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ml platform engineer in Oregon is $67.62, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $78.03 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.
What are popular job titles related to Ml Platform Engineer jobs in Oregon? For Ml Platform Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Ml Platform Engineer jobs in Oregon look for? The top searched job categories for Ml Platform Engineer jobs in Oregon are:
What cities in Oregon are hiring for Ml Platform Engineer jobs? Cities in Oregon with the most Ml Platform Engineer job openings:
Ml Platform Engineer jobs near you
Infographic showing various Ml Platform Engineer job openings in Oregon as of August 2026, with employment types broken down into 56% Full Time, 39% Part Time, 4% Contract, and 1% Nights. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $140,647 per year, or $67.6 per hour.

MLOps / AI Platform Engineer Subject Matter Expert

General Assembly

OR • Remote

$60 - $75/hr

Full-time

Re-posted 21 days ago

Job description

Company: General Assembly

Client: Confidential -  Customer Success Reskilling 

Start: ASAP

Hours: 15 to 20 hours a week, for 6 to 7 weeks (for a grand total of 90 to 140 hours) (Ends by July, 2026) (Most of your hours will be asynchronous - you will be vetting and iterating with our team - not building content from scratch yourselves.)

Compensation Range:  $60 - $75 per hour

Location: Remote

About the engagement

General Assembly is building a reskilling program for clients' Customer Success and Account Management professionals transitioning into MLOps and AI Platform Engineering roles. You'll serve as the subject matter expert for Pathway 3, validating the technical accuracy of pipeline content, governance frameworks, monitoring exercises, and async assets designed to bring CSAMs up to speed on taking AI systems from pilot to production at scale.

What you'll do

  • Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer pathway
  • Validate technical accuracy of instructional slide content covering ML pipelines, model deployment, monitoring, and governance
  • Review async assets including prompt-alongs and self-paced exercises for technical correctness and appropriate difficulty level for the learner population (experienced customer-facing professionals, not engineers)
  • Participate in one structured SME review gate (approximately 1 week, early June)
  • Provide a single round of revision feedback for the LED to implement before QA

What you bring

  • 7+ years in software or data engineering with 3+ years in MLOps or ML platform roles in production
  • Hands-on experience with ML pipelines, model deployment, monitoring, and governance at scale
  • Strong DevOps and CI/CD fundamentals applied to ML workloads
  • Python proficiency, data engineering foundations, and Azure cloud infrastructure fluency
  • Familiarity with Azure ML, AI Foundry platform engineering patterns, and model lifecycle management
  • AZ-900, AI-900, and DP-100 minimum; AI-102 preferred
  • Former AI Platform or Azure ML engineer with Microsoft, Google, or similar company is a strong plus

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