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Remote Google Machine Learning Engineer Jobs in Raleigh, NC

Telus Digital

Senior Google CX Engineer (GECX)

Durham, NC · On-site +1

$116K - $146K/yr

Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google Customer ...

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 ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Western Governors University

Staff AI Engineer

Raleigh, NC · On-site +1

$180K - $279K/yr

Bachelor's Degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, or a related field. Master's Degree strongly preferred. * 7+ years of experience in software ...

HedgeServ

Senior ITSMA Observability Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... HedgeServ supports employees through a variety of offerings, including remote and hybrid working ...

Bitovi

AI Automation Engineer V

Durham, NC · Remote

$126K - $244K/yr

This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ... Google Cloud Platform, including AI and machine learning services and large language model ...

Bitovi

AI Automation Engineer V

Durham, NC · On-site +1

$126K - $244K/yr

This is a full-time role with Avalara, offering a fully remote work arrangement. What Your ... Google Cloud Platform, including AI and machine learning services and large language model ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Machine Learning and AI Solutions : Lead the development and implementation of machine learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

This remote contract-to-hire position will be originated in Raleigh, NC. * SELECTED CANDIDATES ... SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning ...

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Remote Google Machine Learning Engineer information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

How much do remote google machine learning engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote google machine learning engineer in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Raleigh, NC? The most popular types of Google Machine Learning Engineer jobs in Raleigh, NC are:
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Remote Google Machine Learning Engineer jobs near you

Senior Google CX Engineer (GECX)

Telus Digital

Durham, NC • On-site, Remote

$116K - $146K/yr

Full-time

Re-posted 19 days ago

TELUS Digital rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

104th of 230 rated it services

Job description

Who We Are
Welcome to TELUS Digital - where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada's largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
In January 2023, TELUS Digital acquired WillowTree, creating a combined firm with service offerings spanning Customer Experience and Digital Solutions.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are - all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location & Flexibility
This role will operate remotely in the United States or based out of one of our major North American office locations - Charlottesville, VA, Durham, NC, Columbus, OH, and Boston, MA.
The Opportunity
TELUS Digital is seeking a Senior Google CX Engineer to lead the architecture and technical development for our Gemini Enterprise Customer Experience (GECX) solutions. This is a high-impact individual contributor role responsible for building the scalable, secure, and integrated Google Cloud environments that power our most advanced conversational AI and agentic workforce implementations across app, web, and CCaaS platforms.
You will play a critical role in expanding our expertise in Conversational Agents, Agent Assist, and Conversational Insights, ensuring TELUS Digital continues to lead in AI-powered customer experience transformation. The role requires a combination of strategic execution, technical understanding of Google CES products, and strong business acumen.
Responsibilities
Solution Development & Innovation
  • Stay current on Google CES advancements, generative AI, and NLP trends to recommend and integrate new capabilities.
  • Contribute to the development of innovative solutions and accelerators on the Google CES platform.
    Ensure delivery excellence and solution scalability by applying best practices and proven technical approaches.
  • Encourage a culture of innovation and continuous improvement within the team.
Cloud Infrastructure Engineering
  • Lead the architecture and development of Google Cloud environments specifically optimized for Gemini Enterprise Customer Experience (GECX) deployments.
  • Design and implement secure integrations between GECX, Google Cloud AI services and external platforms, including defining and configuring real-time CCaaS audio ingestion methods such as SIPREC and gRPC, as well as mobile applications and web interfaces.
  • Configure identity and access management (IAM) and secure service accounts to ensure governed access to GECX components.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, Business, or related field; advanced degree is an asset.
  • 5+ years of experience in technology consulting, digital transformation, or customer experience, with a focus on AI/ML solutions.
  • Preferred: Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer.
  • Practical expertise with Google Customer Engagement Services (formerly CCAI).
  • Proven success delivering AI/ML-powered customer engagement or contact center solutions.
  • Strong understanding of customer experience design, contact center operations, and key CX metrics.
  • Excellent communication and presentation skills for both executive and technical audiences.

Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants' qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy.

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