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Google Cloud Machine Learning Engineer Jobs in Remote, OR

Anytime AI

Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires ...

SOSi

Senior Data Scientist

Myrtle Point, OR

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

SOSi

Senior Data Scientist

OR

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

SOSi

Senior Data Scientist

OR · On-site +1

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

SOSi

Data Scientist

Myrtle Point, OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing ...

SOSi

Data Scientist

OR

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing ...

SOSi

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing ...

Maximus

Senior Back End Developer

OR · Remote

$125K - $150K/yr

Practical experience developing in a cloud environment. Preferred Skills and Qualifications ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$125K - $150K/yr

Practical experience developing in a cloud environment. Preferred Skills and Qualifications ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$125K - $180K/yr

Practical experience developing in a cloud environment. Preferred Skills and Qualifications ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Maximus

Senior Back End Developer

OR · Remote

$125K - $150K/yr

Practical experience developing in a cloud environment. Preferred Skills and Qualifications ... 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 ...

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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

See Remote, OR salary details

$23

$62

$87

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.
Machine Learning Engineer

Machine Learning Engineer

Anytime AI

OR • Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 8 days ago

Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires robust expertise in machine learning R&D, particularly involving NLP (Natural Language Processing) and Large Language Models, to improve information extraction, information retrieval and search, document analysis and summarization, and generation.

Responsibilities

  • Design, develop, and deploy advanced AI algorithms to boost the functionality and efficacy of our legal AI applications.
  • Work closely with product teams to integrate AI technologies into solutions centered around user needs.
  • Enhance and streamline machine learning pipelines for superior performance and scalability.
  • Conduct thorough testing and validation to maintain the accuracy and reliability of algorithms.

Requirements

  • M.S. or higher in Computer Science, Machine Learning, AI, or related fields.
  • 3+ years of experience in Machine Learning R&D.
  • Proficiency in Machine Learning and NLP techniques and tools.
  • Demonstrated experience in developing real-world AI solutions or contributing to open-source applications using NLP.
  • Strong software development capabilities.
  • Strong analytical and problem-solving skills, adept at identifying and addressing bottlenecks for optimal performance under varying loads.

Preferred Skills

  • Extensive experience in building and managing production-level machine learning systems.
  • Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies.
  • Experience in developing search and retrieval algorithms.
  • Experience in training Large Language Models.
  • Web development experience or willingness to acquire the necessary skills to contribute to our web-based product offerings.
  • Excellent verbal and written communication skills, capable of articulating complex technical concepts to cross-functional teams and translating legal workflows described by these teams into technical solutions.

This Might Be for You If...

  • You thrive on proactivity and have a “get things done” mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for crafting innovative AI solutions that deeply engage users and meet critical needs.
  • AI/ML fascinates you, and while hands-on experience isn’t mandatory, an eagerness to delve into these fields is essential.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive product innovation.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary, including potential equities. Base+ Bonus+ Employee Stock Option Plan.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team and gain multi-domain (Marketing, Business Intelligence, Product Management, Project Management, Generative AI, Gen AI for law) knowledge in one place.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If you’re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai