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Remote Nvidia Machine Learning Jobs in Paterson, NJ

Nvidia

Senior Software Engineer - Agentic Memory

New York, NY · On-site +1

$134K - $176K/yr

We are looking for candidates in any country where NVIDIA has an office, and remote work is ... machine and deep learning needs. With deep learning, we can teach AI to do almost anything. New ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

Etsy

Senior Staff Machine Learning Engineer

Brooklyn, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

Etsy

Senior Staff Machine Learning Engineer

New York, NY · On-site +1

$245K - $319K/yr

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

1 point system

GenAI Engineer

New York, NY · Remote

Strong foundation in AI, deep learning, and machine learning principles. Programming Skills ... Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim. Multi-Modal Data and AI Tools:

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo * Knowledge of microservices architecture and continuous delivery concepts in machine learning and related ...

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All JobsNvidia Machine Learning JobsRemote Nvidia Machine Learning JobsRemote Nvidia Machine Learning Jobs in Paterson, NJ

Remote Nvidia Machine Learning information

See Paterson, NJ salary details

$25.9K

$43.3K

$89.5K

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

As of Jul 15, 2026, the average yearly pay for remote nvidia machine learning in Paterson, NJ is $43,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 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 near Paterson, NJ are hiring for Remote Nvidia Machine Learning jobs? Cities near Paterson, NJ with the most Remote Nvidia Machine Learning job openings:
Remote Nvidia Machine Learning jobs near you
Machine Learning Scientist, New AI Products and Platforms

Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY • On-site, Remote

Other

Posted 4 days ago

New

Job description

About the Role, Mission or Department Overview

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.

Responsibilities:

  • You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.

  • You will fine-tune and evaluate language models for custom use cases and content enrichment.

  • You will contribute to shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important

  • You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs

  • You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches

  • You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups

  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline

  • 2+ years experience with open source machine learning or statistical analysis tools

  • 2+ years coding experience in Python

  • 2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis

  • 1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow

Preferred Qualifications:

  • 1+ years of experience with information retrieval or search systems

  • 1+ years of experience translating ambiguous business questions into machine learning problems

  • 1+ years of experience building data products, either internal or consumer-facing

  • PhD or Master's research experience in Applied AI

REQ-020337

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