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Google Cloud Machine Learning Engineer Jobs in Remote, OR

Maximus

Back End Developer - Mid-level

OR · Remote

$100K - $130K/yr

Practical experience developing in a cloud environment. * Experience with integrating data from ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

$100K - $130K/yr

Practical experience developing in a cloud environment. * Experience with integrating data from ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

$100K - $150K/yr

Practical experience developing in a cloud environment. * Experience with integrating data from ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Back End Developer - Mid-level

OR · Remote

$100K - $130K/yr

Practical experience developing in a cloud environment. * Experience with integrating data from ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Mirantis

Program Management Director

OR · On-site

... for modern AI, machine learning, and data-intensive applications. By combining open source ... ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in ...

Mirantis

Program Management Director

OR · On-site +1

... for modern AI, machine learning, and data-intensive applications. By combining open source ... ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in ...

Oxford Global Resources

AI Architect

OR · Remote

... and machine learning. You will architect sophisticated large language models (LLMs) with the ... Experience in designing & deploying AI / ML solutions using various cloud vendors. * Experience in ...

Veeco Instruments, Inc.

Sr. Field Service Engineer

OR · On-site +1

We design, develop, manufacture, and service highly complex, cutting-edge machines used by our ... learning cycles, and performance validation. * Independently diagnose and resolve complex electro ...

Anytime AI

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and ... You are eager to keep up with the latest industry trends and committed to continuous learning and ...

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All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Remote, OR

Google Cloud Machine Learning Engineer information

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How much do google cloud machine learning engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for google cloud machine learning engineer in Remote, OR is $62.82, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $71.59 per hour, depending on experience, location, and employer.

What are Google Cloud Machine Learning Engineers?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning Engineer, and why are they important?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning Engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.
What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Remote, OR? For Google Cloud Machine Learning Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Google Cloud Machine Learning Engineer jobs in Remote, OR look for? The top searched job categories for Google Cloud Machine Learning Engineer jobs in Remote, OR are:
Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Remote, OR as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 90% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $130,673 per year, or $62.8 per hour.
Senior Back End Developer - TS/SCI Clearance Required

Senior Back End Developer - TS/SCI Clearance Required

Maximus

OR • Remote

$125K - $150K/yr

Full-time

Posted 11 days ago

Maximus rating

6.8

Company rating: 6.8 out of 10

Based on 288 frontline employees who took The Breakroom Quiz

244th of 426 rated business services

Job description

General information
Job Posting Title
Senior Back End Developer
Date
Thursday, May 7, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.
 
This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.

This position is remote and requires a Secret clearance or above. An active TS/SCI clearance is preferred. 
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS197, T5, Band 8
Job-Specific Essential Duties and Responsibilities:
  • Provides subject matter proficiency for work described in the task.
  • Responsible for providing analytical skills to support process improvement, specialized studies, and definition of requirements.
  • Typical duties include analysis, planning, developing requirements documents, building functional models, developing procedures, developing functional architecture, and other related management and technical duties.
  • Requires expertise in specialty areas.
  • Shall perform engineering tasks for back-end design and development efforts including, but not limited to, developing back-end architectures to support current and new system capabilities and integrations, RESTful API development and modification, database management, and data model development and optimization.

Job-Specific Minimum Requirements:
  • Active Secret clearance or above required. Active TS/SCI highly preferred. 
  • Bachelor's degree in a related field.
  • 10 years of software development experience in object-oriented and scripted languages with the ability to apply several tool suites related to DevSecOps, microservices and containers.
  • 5 years of experience performing back-end web design and development.
  • 10 years of experience in relational databases, RESTful API development and integration.
  • 5 years of experience in Python and PostgreSQL.
  • 5 years of experience with bug tracking software (e.g., Jira).
  • 5 years of experience testing web-based applications.
  • 5 years of experience leading software development programs or projects.
  • 3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.
  • 5 years of experience with at least five (5) of the following:
   - Postgres
   - RDS
   - Exodus
   - Python
   - Luna
   - Java
   - Docker
   - OpenJDK
   - Ansible
   - Packer
   - Maven
   - Kubernetes
   - Red Hat
  • Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.
  • Practical experience developing in a cloud environment.

Preferred Skills and Qualifications:
  • Experience with integrating data from unclassified to classified application deployments.
  • 5 years of experience with DoW software development.
  • Experience using Agile Test-Driven development.
  • Experience integrating into DoW DevSecOps environments.
  • 5 years of experience with CI/CD software development.
  • Demonstrated experience in utilizing UX design tool suites (e.g., Sketch, InVision).
  • Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.


#techjobs #clearance #veteransPage #USCYBERCOM
Minimum Requirements
TCS197, T5, Band 8
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but no...

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