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Remote Nvidia Machine Learning Jobs in Raleigh, NC

Principal Data Scientist

Raleigh, NC ยท On-site +1

$147K - $243K/yr

Use machine learning, data mining, and statistical methods to distill meaningful insights from ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Senior ITSMA Observability Engineer

Raleigh, NC ยท 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 ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC ยท 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 ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC ยท 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 ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC ยท 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 ...

Senior AI Technologist

Raleigh, NC ยท On-site +1

$48.75 - $63/hr

Experience preparing and transforming data for analytics, machine learning, search, or AI-enabled ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

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Showing results 1-20

Remote Nvidia Machine Learning information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do remote nvidia machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote nvidia machine learning in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Machine Learning vs Remote Data Scientist?

AspectRemote Nvidia Machine LearningRemote Data Scientist
Required CredentialsDeep learning, GPU programming, Nvidia certificationsStatistics, programming, data analysis
Work EnvironmentFocus on GPU-accelerated ML models, Nvidia toolsData analysis, modeling, visualization
Industry UsageAI, autonomous vehicles, gaming, HPCBusiness analytics, research, finance

Remote Nvidia Machine Learning specialists focus on developing GPU-accelerated AI models using Nvidia technologies, often requiring specific certifications and expertise in GPU programming. In contrast, Remote Data Scientists analyze data, build predictive models, and interpret results across various industries. While both roles involve data and programming skills, Nvidia Machine Learning roles are more specialized in GPU-based AI development, whereas Data Scientists have broader data analysis responsibilities.

What are the most commonly searched types of Nvidia Machine Learning jobs in Raleigh, NC? The most popular types of Nvidia Machine Learning jobs in Raleigh, NC are:

Principal Data Scientist

Redhat

Raleigh, NC โ€ข On-site, Remote

$147K - $243K/yr

Full-time

Posted 8 days ago


Job description

*Telecommuting role to be performed anywhere in the U.S.

Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to distill meaningful insights from large, complex dataset.

What You Will Do:

  • Participate in end-to-end development, from requirements gathering to validation and implementation.
  • Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery.
  • Implement monitoring for data science solutions to identify model degradation, data drift, and concept drift, and ensuring that the model is maintaining an acceptable level of performance.
  • Directly engage with key decision makers across the business to iterate, test, and deliver solutions that improve the way we operate.

What You Will Bring:

  • Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role.
  • Must have three (3) years of experience with: developing production-grade data science models; statistics and machine learning models and algorithms; producing well-documented, well-formatted code using object-oriented design principles, including Python; feature engineering using statistical techniques; data querying and transformation, including SQL; and working with engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments.

#LI-DNI

The salary range for this position is $147,470 - $243,350/year. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.