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Remote Google Machine Learning Engineer Jobs in Charlotte, NC

Substation Physical Engineer - REMOTE

Charlotte, NC · Remote

$96K - $122K/yr

Substation Physical Engineer - REMOTE Location: Remote US Ready to make a difference? ICF is ... You enjoy taking on new responsibilities and learning new skill sets whenever needed. What you will ...

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Senior Transmission Line Engineer - REMOTE

Charlotte, NC · Remote

$102K - $140K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Committed to continuous learning and process improvement, consistently seeking opportunities to ...

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their ...

Principal AI Engineer

Charlotte, NC · On-site +1

$168K - $252K/yr

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Hands-on experience with cloud platforms and services, such as Google Cloud, AWS, Azure and their ...

Cloud Platform Senior Consultant - Remote

Concord, NC · On-site +1

$54.50 - $74.25/hr

The Team Our engineers are fueled by a passion to impact the future of mobility. As part of an ... You will design, build, deploy, and operate cloud-native data infrastructure across AWS and Google ...

Must have a passion for machine-learning and research. This position will be tasked with helping ... Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at ...

Showing results 41-60

Remote Google Machine Learning Engineer information

See Charlotte, NC salary details

$30.8K

$125.8K

$189K

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

As of Sep 2, 2026, the average yearly pay for remote google machine learning engineer in Charlotte, NC is $125,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $151,400.00 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?

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 Charlotte, NC?

The most popular types of Google Machine Learning Engineer jobs in Charlotte, NC are:

What job categories do people searching Remote Google Machine Learning Engineer jobs in Charlotte, NC look for?

The top searched job categories for Remote Google Machine Learning Engineer jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Remote Google Machine Learning Engineer jobs?

Cities near Charlotte, NC with the most Remote Google Machine Learning Engineer job openings:

Infographic showing various Remote Google Machine Learning Engineer job openings in Charlotte, NC as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $125,771 per year, or $60.5 per hour.

Senior Developer Verint AI & Social Engineering

Capgemini

Charlotte, NC • On-site, Remote

$119K - $157K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 hours ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

99th of 226 rated it services


Job description

Capgemini is at the forefront of innovation, integrating AI technologies to enhance customer experience and streamline operations.

We are  seeking an experienced and innovative Verint AI Software Engineer to join our team supporting a premier U.S. Property & Casualty insurance carrier. This role is ideal for a technologist with deep expertise in Verint AI and a strong understanding of enterprise voice ecosystems, including CISCO, Google Cloud, and NICE. You will be instrumental in designing, developing, and optimizing AI-driven solutions that enhance customer experience, operational efficiency, and digital engagement. In this role, you will work closely with cross-functional teams to design, develop, and deploy AI-driven solutions that leverage Verint AI technology to address complex business challenges.

Our Client is one of the United States' largest insurers, offering a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.

This role offers a unique opportunity to work on innovative AI initiatives with a leading U.S. insurance carrier, within a collaborative environment that fosters innovation, creativity, and continuous learning. You'll gain exposure to enterprise-scale projects and advanced technologies, while enjoying a comprehensive benefits package that includes health coverage, retirement plans, and professional development support.

Key Responsibilities:

  • Design, develop, test, and implement AI-based applications using Verint technology, including IVA and Speech Analytics.
  • Collaborate with business stakeholders to understand requirements and translate them into scalable technical specifications.
  • Analyze structured and unstructured data to develop AI algorithms that support intelligent decision-making and customer interaction.
  • Integrate Verint AI solutions with enterprise platforms such as CISCO telephony, Google Cloud services, and NICE workforce management systems.
  • Debug and improve existing Verint implementations for performance, scalability, and user experience.
  • Stay current with trends in AI, voice engineering, and social engineering to recommend innovative approaches and technologies.
  • Provide technical guidance and mentorship to junior developers, fostering a collaborative and growth-oriented environment.
  • Document technical specifications, architecture designs, and system integration processes.

Benefits:

  • Opportunity to work on cutting-edge AI initiatives.
  • Collaborative work environment that promotes innovation and creativity.
  • Comprehensive benefits package and professional development opportunities.

Requirements

  • Proven experience in software development with a strong focus on AI technologies and methodologies.
  • Direct experience with Verint solutions and platforms.
  • Demonstrated experience with Verint AI.
  • Deep familiarity with voice engineering technology ecosystems that include Verint, Google, CISCO, NICE and other similar technologies.
  • Strong programming skills in languages such as Python, Java, or C#.
  • Solid understanding of social engineering techniques and digital behavior analysis.
  • Ability to work effectively in a collaborative team environment.
  • Excellent problem-solving and analytical skills.
  • Effective communication skills, both verbal and written.
  • A degree in Computer Science, Software Engineering, or a related field.

Benefits

Competitive compensation and benefits package:

  1. Competitive salary and performance-based bonuses
  2. Comprehensive benefits package
  3. Career development and training opportunities
  4. Flexible work arrangements (remote and/or office-based)
  5. Dynamic and inclusive work culture within a globally renowned group
  6. Private Health Insurance
  7. Retirement Benefits
  8. Paid Time Off
  9. Training & Development
  10. Performance Bonus

Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported 22 billion in revenues in 2024.

https://www.capgemini.com/us-en/about-us/who-we-are/


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