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Remote Google Machine Learning Engineer Jobs in Raleigh, NC

CIMA

Psychometrician

Durham, NC · Remote

$80K - $95K/yr

Experience with statistical/psychometric programming, machine learning, Natural Language Processing ... Learn more about The Association on LinkedIn and our Career Site. #LI-Remote #GreatPlacetoWork We ...

Digitalturbine

Software Engineering Manager

Durham, NC · On-site +1

Background managing distributed/remote teams across international time zones (US, Europe, Israel ... Experience integrating data pipelines, machine learning, or BI tools into product workflows. About ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Durham, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Raleigh, NC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Experience with BigQuery and Looker is required along with as much Google Cloud Platform (GCP ... Visualization Engineer and Ingestion Engineers. All roles will be remote and can be located ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Experience with BigQuery and Looker is required along with as much Google Cloud Platform (GCP ... Visualization Engineer and Ingestion Engineers. All roles will be remote and can be located ...

FHR

M6.20 MuleSoft Lead (100% Remote)

Raleigh, NC · Remote

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Google Cloud. * Message Queues: Knowledge of AMQ, Kafka, or RabbitMQ. * Database & Programming:

Redhat

Software Engineer

Raleigh, NC · On-site +1

$115K - $185K/yr

... and Google Workspace. * Implement tagging strategies and policies to allocate cloud costs to ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

DomainTools

Full Stack Software Engineer

Raleigh, NC · On-site +1

DomainTools is seeking a Software Engineer to join our Frontend Team. This position is perfect for ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

DomainTools

Full Stack Software Engineer

Raleigh, NC · Remote

DomainTools is seeking a Software Engineer to join our Frontend Team. This position is perfect for ... machine-learning driven risk analytics delivered in near real-time. DomainTools offers a ...

micro1 AI

AI Trainer - Microbiology Expert

Cary, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Durham, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

micro1 AI

AI Trainer - Microbiology Expert

Raleigh, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

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Remote Google Machine Learning Engineer information

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$30.6K

$125.2K

$188.1K

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

As of Aug 19, 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?

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:

What are popular job titles related to Remote Google Machine Learning Engineer jobs in Raleigh, NC?

For Remote Google Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

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

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

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

Remote Google Machine Learning Engineer jobs near you

Research Scientist - AI for Power Electronics

Hitachi

Raleigh, NC • On-site, Remote

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Job description

Location:

Raleigh, North Carolina, United States

Job ID:

R0130393

Date Posted:

2026-05-19

Company Name:

HITACHI ENERGY USA INC

Profession (Job Category):

Engineering & Science

Job Schedule:

Full time

Remote:

No

Job Description:

Research Scientist - AI for Power ElectronicsThe Opportunity

In this role, you will work at the intersection of power electronics and artificial intelligence, helping to shape next-generation technologies that support modern, reliable, and efficient power grids. As part of Hitachi Energy's global research organization, you will contribute to the development of AI-enabled software tools that improve how complex power electronics systems-such as HVDC, STATCOM, and SVC-are designed, optimized, and validated. You will collaborate with cross-functional teams of researchers, engineers, and software developers to transform real-world engineering challenges into scalable, data-driven solutions. Your work will focus on advancing design automation, improving accuracy and performance, and accelerating innovation across power conversion technologies. Through applied research, prototyping, and validation, you will directly influence how power electronics systems are engineered, impacting grid reliability, performance, and future energy system evolution. This role offers the opportunity to explore advanced computational approaches, contribute to industry-relevant research, and see your ideas translate into practical tools used across global energy applications. Role will be based onsite at our Research Center in Raleigh, NC.

How You'll Make an Impact
  • Collaborate with global teams to develop AI-enabled software tools that enhance power electronics design workflows
  • Drive research in design automation using AI, optimization algorithms, and data-driven methods
  • Develop and validate AI-based approaches for design space exploration, performance prediction, and system optimization
  • Support component selection, reliability assessment, and scalability improvements for power electronic systems
  • Identify technology gaps and contribute to future-focused research priorities in power electronics design tools
  • Partner with engineering teams to translate design challenges into practical, user-focused software solutions
  • Work with external partners including universities, national labs, and industry collaborators to advance research initiatives
  • Share findings through scientific publications, technical reports, and patent applications
  • Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
Your Background
  • Candidate must already have work authorization that would permit them to work for Hitachi Energy in the United States.
  • Ph.D. degree in Electrical Engineering with a focus on power electronics, energy conversion, or a closely related field, with educational background spanning both Power Electronics and Computer Science/AI
  • Experience in power electronics design, modeling, hardware systems, and simulation/verification of power electronic systems
  • Hands-on experience applying AI techniques such as supervised/unsupervised learning, optimization, surrogate modeling, or reinforcement learning to engineering problems
  • Proficiency in programming (Python or similar) and familiarity with machine learning frameworks such as PyTorch or TensorFlow and scientific computing tools
  • Experience with tools such as Matlab, Simulink, PSCAD, PLECS, and familiarity with hardware design workflows and controller design techniques
  • Proven research background with publications in recognized journals or conferences and effective communication skills in English
More About Us

You will gain hands-on experience applying advanced AI methods to real-world power electronics challenges while collaborating with global teams shaping future energy systems.

  • Opportunities to work on innovative technologies that shape the future of energy
  • A collaborative environment with experienced professionals across the power industry
  • Access to learning platforms and career development programs
  • Attractive health and retirement benefits
  • Paid leave and flexible work arrangements

Equal Employment Opportunity (EEO)-Females/Minorities/Protected Veterans/Individuals with Disabilities

Protected veterans and qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.
Hitachi Vantara logo

About Hitachi Vantara

Sourced by ZipRecruiter

Hitachi Rail is a fully integrated, global provider of rail solutions across rolling stock, signaling, service & maintenance, digital technology and turnkey. With a presence in 38 countries across three continents and over 13,000 employees, our mission is to contribute to society through the continuous development of superior rail transport solutions.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

2017

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