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Remote Nvidia Machine Learning Jobs (NOW HIRING)

Wings of Destiny

Machine Learning Engineer

Malibu, CA · Remote

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise ... Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ...

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

nou Systems

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... in machine learning, data science, or backend software development. * Hands-on experience ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

Booz Allen Hamilton

Machine Learning Research Engineer

$209K/yr

Booz Allen Hamilton is seeking a Machine Learning Research Engineer to support the creation of physics-aware foundational models for remote sensing applications. The role involves training, testing ...

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Work across multiple time zones in a hybrid or remote work environment. * Long periods of time ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

We have hybrid offices in London, New York, and Singapore; this role is remote based in the San Francisco area. This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build ... Employee divides their time between in-office and remote work. Access to an office location is ...

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All JobsRemote Nvidia Machine Learning Jobs

Remote Nvidia Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Jun 9, 2026, the average yearly pay for remote nvidia machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 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 cities are hiring for Remote Nvidia Machine Learning jobs? Cities with the most Remote Nvidia Machine Learning job openings:
What are the most commonly searched types of Nvidia Machine Learning jobs? The most popular types of Nvidia Machine Learning jobs are:
What states have the most Remote Nvidia Machine Learning jobs? States with the most job openings for Remote Nvidia Machine Learning jobs include:
Remote Nvidia Machine Learning jobs near you

Machine Learning Engineer

Wings of Destiny

Malibu, CA • Remote

Other

Posted yesterday

Job description

Location: Remote

Commitment: 5–10 hours per week (flexible)

Duration: 3–6 months (with potential extension)

Compensation: Unpaid / Volunteer (reference letter + portfolio credit provided)

We are a mission-driven organization focused on building technology solutions that create measurable social impact. Our team includes engineers, designers, and community leaders collaborating to deliver scalable, ethical, and data-driven products.

Role Overview

We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and deploy ML models that support our core initiatives. This is an excellent opportunity for someone looking to gain hands-on experience, contribute to meaningful projects, and expand their professional portfolio.

You will work closely with our technical and product teams to develop data pipelines, train models, and integrate intelligent features into production-ready systems.

Key Responsibilities

  • Design, train, and evaluate machine learning models
  • Clean, preprocess, and analyze structured and unstructured data
  • Build and maintain data pipelines
  • Deploy ML models into staging/production environments
  • Collaborate with cross-functional teams to define ML requirements
  • Document experiments, processes, and results
  • Ensure ethical and responsible AI practices

Preferred Qualifications

  • Experience with Python and ML libraries such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with data manipulation tools (Pandas, NumPy)
  • Understanding of supervised and unsupervised learning techniques
  • Experience with APIs and cloud platforms (AWS, GCP, or Azure) is a plus
  • Knowledge of version control (Git)
  • Strong analytical and problem-solving skills
  • Ability to work independently in a remote environment

What You’ll Gain

  • Real-world experience building and deploying ML systems
  • Mentorship from experienced engineers
  • A tangible project portfolio
  • Letter of recommendation upon successful completion
  • Opportunity to transition into a paid role (if available)

Ideal Candidate

  • Passionate about AI and social impact
  • Self-motivated and reliable
  • Eager to learn and contribute
  • Comfortable working in a collaborative, fast-paced environment

Please submit:

  • Your resume
  • GitHub or portfolio link
  • A short statement (200–300 words) about why you’re interested

Apply