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Entry Level Google Cloud Machine Learning Engineer Jobs in Raleigh, NC

Verily Life Sciences

Cloud Engineer III

Raleigh, NC · On-site

$54.25 - $72.50/hr

Description As a Cloud Engineer at Verily you will help us develop our cloud platform capabilities ... Hands on experience in Google Cloud Platform. * Certified Kubernetes Administrator with deep ...

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

... engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Xylem

Cloud Engineer

Morrisville, NC · Hybrid

$52.25 - $69.75/hr

Xylem is seeking a Cloud Operations Engineer to join our Global Cloud Infrastructure team within ... Google Cloud Platform (GCP), FinOps, data analytics, or IT service management. * Experience with ...

RIT Solutions, Inc.

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

... machine learning, analytics, and intelligent agent-based applications. • Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS, EKS, or ...

Varsity Tutors

Machine Learning Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Accenture

Responsible AI Engineer

Raleigh, NC · On-site

Machine Learning Visualization Tools * Minimum of 3 years of experience in the following ... Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, or Google ...

Stellar Professionals LLC

AI Trainer

Raleigh, NC · On-site

$31.50 - $42/hr

... cloud-based AI services, including AWS SageMaker, Google AI, or Microsoft Azure Machine Learning ... Experience collaborating directly with data scientists and developers to align training content ...

Sennos

Sr ML/AI Engineer

Durham, NC · On-site

$101K - $138K/yr

The role serves as a technical authority on advanced machine learning - helping Sennos formulate ... similar cloud and data-platform-based ML capabilities * Experience building ML systems for ...

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All JobsGoogle Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer JobsEntry Level Google Cloud Machine Learning Engineer Jobs in Raleigh, NC

Entry Level Google Cloud Machine Learning Engineer information

See Raleigh, NC salary details

$29.2K

$67.4K

$114.7K

How much do entry level google cloud machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level google cloud machine learning engineer in Raleigh, NC is $67,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

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Entry Level Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Entry Level Google Cloud Machine Learning Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 50% Full Time, 28% Part Time, 20% Contract, and 2% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $67,425 per year, or $32.4 per hour.

Cloud Engineer III

Verily Life Sciences

Raleigh, NC • On-site

$54.25 - $72.50/hr

Full-time

Re-posted 19 days ago

Job description

Who We Are
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
Description
As a Cloud Engineer at Verily you will help us develop our cloud platform capabilities and tools to deliver scalable, reliable, secure, and performant production systems. You will work with software engineers, hardware engineers, data scientists & security to help them learn, adapt, and adopt our core cloud management tools and best practices. You will also help develop documentation and training material and evangelize these technologies and capabilities to the broader engineering organization. As a Cloud Developer, you will advocate the infrastructure decisions within the broader engineering organization.
Responsibilities
  • Design and Implement scalable, secure, and cost-efficient cloud infrastructure using automation tools.
  • Identify cloud infrastructure requirements, both functional and nonfunctional.
  • Follow cloud architecture standards, policies, and guidelines to maintain consistency and reliability across teams and ensure compliance with data privacy and regulatory requirements (e.g., HIPAA, GDPR, FedRAMP).
  • Automate cloud infrastructure for Verily's suite of products on GCP as well as other cloud providers via Infrastructure as Code. Automate cloud operations strategy to ensure scalability, performance, security, and disaster recovery.
  • Reduce toil of repetitive cloud operations by automating into self-service workflows.

Qualifications
Minimum Qualifications
  • Bachelor's degree in Computer Science or a related technical field with 2+ years of experience in public cloud platforms like Google Cloud Platform (GCP) or AWS, with the ability to leverage these platforms effectively for large-scale operations.
  • 2+ years of experience in managing cloud through Infrastructure as Code using Terraform, etc. and through GitOps using GitHub Actions, Argo CD, Jenkins, etc.
  • 1+ years of experience with programming & scripting languages like Go, Python, Shell, etc; and experience in implementing scalable, reliable and secure cloud network solutions for a variety of workloads.
  • 1+ years of experience in establishing observability systems to monitor production systems and leading incident management processes to attain high system availability (99.9% uptime or higher).

Preferred Qualifications
  • Hands on experience in Google Cloud Platform.
  • Certified Kubernetes Administrator with deep understanding of Kubernetes internals.
  • Familiarity with IaC actuation tools like Atlantis, Terraform Cloud, etc.
  • Strong written and verbal communication skills.
  • Write technical & design documentation.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
The US base salary range for this full-time position is $128,000 - $192,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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