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Ml Platform Engineer Jobs in Oregon (NOW HIRING)

BetterHelp

Staff ML/AI Platform Engineer

OR · On-site +1

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 · On-site +1

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.

Principal Platform Engineer

OR · On-site +1

... 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

Senior Workday Platform Engineer

OR · On-site +1

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

Staff AI Platform Engineer

OR · On-site +1

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

Senior Staff AI Platform Engineer

OR · On-site +1

$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 ...

Attain Talent

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

Attain Talent is seeking a Lead AI/ML Engineer to lead the design, evaluation, and implementation ... Curious about emerging AI technologies and excited to evaluate new tools and platforms. * A ...

Signifyd

Staff Software Engineer, Cloud Platform

OR · On-site +1

The knowledge of the infrastructure needed to run AI/ML workloads reliably at scale is a strong ... About Platform Engineering Platform Engineering builds and operates the foundational systems that ...

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All JobsMl Platform Engineer JobsMl Platform Engineer Jobs in Oregon

Ml Platform Engineer information

See Oregon salary details

$35

$67

$100

How much do ml platform engineer jobs pay per hour?

As of Sep 1, 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 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.

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 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.

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, 42% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $140,647 per year, or $67.6 per hour.

Senior Software Engineer, AI/ML Platform

Agility Robotics

Salem, OR • On-site, Remote

$197K - $307K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.

About The Role

Join the team building the machine learning platform to power fleet-scale humanoid robotics. As a senior engineer on the ML Infrastructure and Platform group, you will help architect and build the foundational infrastructure for AI and machine learning operations at Agility. This includes the platform layer for data collection and processing, training, sim and real evaluation, and model management and observability.

Your work will empower our AI teams across perception, controls, skills, and innovation to build and deploy next-generation robot foundation models and end-to-end policies for humanoid robots by providing tools to develop and operationalize machine learning at scale. 

Key Responsibilities

Execution and Technical Ownership

    • Contribute to the design and implementation of the ML platform for orchestrating the end to end AI flywheel of data processing, training, evaluation, and deployment 
    • Develop reliable workflows across cloud compute, Kubernetes, and continuous automation
    • Build core infrastructure components such as the model registry, feature store and experiment tracking tooling.
    • Own developer-facing APIs and CLI tools that make ML workflows simple and reproducible. 
    • Implement the CI/CD lifecycle for ML that enable continuous retraining, automated testing, and seamless model delivery to production environments

Collaboration

    • Work closely with the Staff ML Infra Engineer and cross-functional stakeholders (AI researchers and robotics engineers) to understand requirements and translate them into scalable solutions/systems.
    • Partner with data platform engineers to integrate ML orchestration and metadata tracking tools with our existing data lake and pipelines.

Engineering Excellence, Growth and Impact: 

    • Apply MLOps best practices: reproducibility, lineage, rollback, monitoring and governance. 
    • Mentor junior engineers and influence the broader cloud platform organization's roadmap.
    • Contribute to internal discussions on platform architecture, reliability, and scalability alongside the broader ML and data platform team
What We're Aiming For (MLOps Level 2)
  • Version-controlled ML pipelines (data, code, and config)
  • Automated and reproducible model training and evaluation
  • Continuous integration and delivery for ML workflows
  • Centralized experiment tracking and performance visualization
  • Standardized model packaging and deployment to production
  • Monitoring of models post-deployment
Required Qualifications
  • 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps systems in production environments.
  • Experience building and maintaining components of modern ML platforms—such as experiment tracking, model registries, training pipelines, or deployment systems
  • Familiarity with orchestration and tracking tools (MLflow, WandB, Airflow, Kubeflow, etc.)
  • Proficiency with cloud-native platforms (AWS, GCP, or Azure), containers, and IaC (e.g., CDK, Terraform)
  • Hands-on experience with processing or modeling multimodal data(sensor logs, camera streams, behaviour traces etc).
  • Comfortable collaborating cross-functionally with research scientists, data engineers, and robotics/autonomy teams to ship infrastructure used by others
Bonus Qualifications
  • Experience with robotics, autonomous vehicles, drones or embedded ML.
  • Contributions to open-source ML infrastructure or MLOps tooling a plus. 
Why This Role?
  • Build from the start Join at a pivotal moment - help shape the ML platform layer as its being defined, not inherited. 
  • High impact: Your work will directly enable faster, safer, and more intelligent robotic behaviors at scale
  • Technical Frontier: You will work directly on enabling the next frontier of AI in real production settings
  • Remote-friendly with a strong engineering culture and a fully distributed team.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.

Anticipated Base Salary Range
$197,000—$307,000 USD

In addition to base pay, our competitive total rewards package consists of the following for full-time employees:

  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.

Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.

Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.  We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page.  If you are represented by a third party, your application may not be considered.  To ensure full consideration, please apply directly.

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