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Freelance Nvidia Machine Learning Jobs in Orange, NJ

Nvidia

Product Manager, AI for Quantum

New York, NY · On-site +1

Understanding of how machine learning and AI techniques can be applied to scientific and ... Experience with GPUs, CUDA, CUDA Libraries, or NVIDIA AI software and frameworks * Technical ...

Nvidia

HPC Middleware Developer

Holmdel, NJ

... machine learning, cloud computing, and system co-design. What you'll be doing: The team is ... NVIDIA is widely considered to be one of the technology world's most desirable companies to work ...

Nvidia

HPC Middleware Developer

Holmdel, NJ · On-site

... machine learning, cloud computing, and system co-design. What you'll be doing: The team is ... NVIDIA is widely considered to be one of the technology world's most desirable companies to work ...

Nvidia

Senior Engineer, Build and DevOps - ADI

New York, NY · On-site +1

$142K - $182K/yr

NVIDIA is widely considered to be one of the world's most desirable employers. We have some of the ... and machine learning. RAPIDS supports customers and partners ranging from individual data ...

Keylent Inc

ML Ops Engineer

Berkeley Heights, NJ · On-site

... Machine Learning systems or related • Preferred hands-on experience with HPC - Nvidia, CUDA • Preferred experience with configuration Management tools like Ansible, puppet • Preferred ...

Keylent Inc

ML Ops Engineer

Berkeley Heights, NJ · On-site

... Machine Learning systems or related • Preferred hands-on experience with HPC - Nvidia, CUDA • Preferred experience with configuration Management tools like Ansible, puppet • Preferred ...

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Freelance Nvidia Machine Learning information

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$15

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$134

How much do freelance nvidia machine learning jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for freelance nvidia machine learning in Orange, NJ is $48.41, according to ZipRecruiter salary data. Most workers in this role earn between $24.62 and $62.69 per hour, depending on experience, location, and employer.

What does a freelance Nvidia machine learning specialist do?

A Freelance Nvidia Machine Learning specialist is an independent contractor who uses Nvidia hardware and software platforms, such as CUDA and TensorRT, to develop, optimize, and deploy machine learning models. These professionals often work with clients to accelerate AI workloads, implement deep learning solutions, and leverage GPU computing for data processing tasks. Their projects may include computer vision, natural language processing, or other AI applications that benefit from Nvidia’s technology stack. Freelancers in this field need strong programming skills, familiarity with Nvidia SDKs, and experience optimizing models for high-performance computing environments.

What are the key skills and qualifications needed to thrive as a freelance Nvidia machine learning specialist?

To thrive as a Freelance Nvidia Machine Learning Engineer, you need a strong background in machine learning principles, deep learning frameworks (such as TensorFlow or PyTorch), and proficiency in Python programming, often supported by a relevant degree or certifications. Familiarity with Nvidia hardware (GPUs), CUDA programming, and tools like Nvidia Deep Learning SDKs is essential for optimizing and deploying models efficiently. Exceptional problem-solving, self-management, and client communication skills help you deliver effective solutions and maintain successful freelance relationships. Mastery of these skills ensures you can build high-performance models, meet client expectations, and stay competitive in the rapidly evolving ML landscape.

What are some common challenges freelance Nvidia machine learning specialists face when working with clients remotely?

Freelance Nvidia Machine Learning specialists often encounter challenges such as ensuring compatibility between client hardware and Nvidia GPU requirements, effectively communicating technical needs and project progress to non-expert clients, and managing project timelines without in-person oversight. Additionally, freelancers may need to set up secure access to client data or cloud environments, which can require extra coordination. Proactively clarifying expectations, maintaining clear documentation, and staying current with Nvidia's latest tools (like CUDA, cuDNN, or TensorRT) are essential strategies for overcoming these challenges.

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

AspectFreelance Nvidia Machine LearningFreelance Data Scientist
Required CredentialsKnowledge of Nvidia GPU architectures, CUDA programming, machine learning frameworksStatistics, programming, data analysis skills, often with similar certifications
Work EnvironmentProject-based, remote, often with tech companies or startupsProject-based or consulting, remote or on-site, across various industries
Industry UsageAI, deep learning, GPU-accelerated applicationsData analysis, predictive modeling, business insights

Freelance Nvidia Machine Learning specialists focus on GPU-accelerated AI projects using Nvidia technologies, while Freelance Data Scientists handle broader data analysis and modeling tasks. Both roles are in high demand for tech-driven projects but differ in technical focus and tools used.

What job categories do people searching Freelance Nvidia Machine Learning jobs in Orange, NJ look for?

The top searched job categories for Freelance Nvidia Machine Learning jobs in Orange, NJ are:

What cities near Orange, NJ are hiring for Freelance Nvidia Machine Learning jobs?

Cities near Orange, NJ with the most Freelance Nvidia Machine Learning job openings:

Freelance Nvidia Machine Learning jobs near you

Senior Solutions Architect, Financial Services Capital Markets

NVIDIA Corporation

Manhattan, NY • On-site

Other

Re-posted 17 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects work with top minds with Financial Services Capital Markets and Exchange firms to accelerate High-Performance Computing and AI workloads across various use cases. We're seeking an inquisitive, hard-working, and creative individual passionate about helping solve challenges. Join us in this endeavor!
What You'll Be Doing:
  • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.
  • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.
  • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.
  • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.
  • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.
What We Need To See:
  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)
  • 12+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++
  • Experience with ML/DL algorithms with frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow
  • Ability to communicate ideas and share code clearly through blog posts, GitHub
  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)
  • Effective verbal/written communication and technical presentation skills
  • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team
  • Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production
Ways To Stand Out From The Crowd:
  • Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms, alongside experience performing performance optimizations.
  • Familiarity with NVIDIA GPU architectures.
  • GPU Development experience through NVIDIA CUDA-x libraries, cuBLAS, cuDNN.
  • Knowledge of MLOps technologies such as containers, data center deployments, cluster management software, etc.
  • Experience working with enterprise developers building HPC or data analytics applications.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
#NALASAHiring
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 20, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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