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Remote Nvidia Deep Learning Jobs (NOW HIRING)

Deep, functional understanding of the NVIDIA product stack, enterprise strategy, and partner ... machine learning pipelines. • Background working in fast-growing, agile, venture-backed ...

Remote in the United States * Visa sponsorship : Open to visa sponsorship. Job Responsibilities A ... You will design, train, and deploy production-grade deep learning models for critical perception ...

$135K - $181K/yr

Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Build andoptimizepredictive and generative models (e.g., deep learning, probabilistic models ...

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Remote Nvidia Deep Learning information

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$11K

$83.9K

$140K

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

As of Jul 11, 2026, the average yearly pay for remote nvidia deep learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

More about Remote Nvidia Deep Learning jobs
What cities are hiring for Remote Nvidia Deep Learning jobs? Cities with the most Remote Nvidia Deep Learning job openings:
What are the most commonly searched types of Nvidia Deep Learning jobs? The most popular types of Nvidia Deep Learning jobs are:
What states have the most Remote Nvidia Deep Learning jobs? States with the most job openings for Remote Nvidia Deep Learning jobs include:
Infographic showing various Remote Nvidia Deep Learning job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.
Machine Learning Engineer - Alpharetta, GA 30009 (Remote)

Machine Learning Engineer - Alpharetta, GA 30009 (Remote)

Lorven Technologies

Remote

Full-time

Re-posted 5 days ago


Job description

Job Title: Machine Learning Engineer
Location: Alpharetta, GA 30009 (Remote)
Duration: 1 Year Contract (Possible Extension)

Description:
Develop, fine-tune, and optimize LLMs and modern deep learning models
Write high-quality prompts, instructions, and training examples to shape model behavior
Design, implement, and maintain instruction orchestration and evaluation workflows for LLM-based systems
Build and maintain training pipelines, datasets, and evaluation workflows
Design and execute functional and automated tests to validate AI outputs and system behavior
Analyze model performance, identify failure patterns (e.g., accuracy gaps, hallucinations, edge cases), and drive improvements
Collaborate with engineering and product teams (and review partner or vendor work) to deploy and iterate on AI features
Contribute to the ongoing maintenance and improvement of existing AI systems
Requirements:
7+ years of experience in machine learning, NLP, or deep learning
Hands-on experience with LLMs (GPT, LLaMA, Mistral, or similar) in applied or production contexts
Healthcare data experience is required, including working knowledge of:
Strong Python skills; experience with PyTorch or TensorFlow
Familiarity with HuggingFace tools and modern model-training workflows
Experience evaluating AI output quality, hallucination behavior, reliability, and consistency
Experience designing automated evaluation, regression testing, or benchmarking pipelines for AI systems
Ability to work with minimal direction, take ownership of problem areas, and operate effectively in ambiguous problem spaces
Excellent communication skills for writing prompts, instructions, technical documentation, and evaluation artifacts
Experience optimizing LLM and deep learning workloads on AWS, including model training, GPU utilization, and cost-efficient inference deployments

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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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