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Remote Nvidia Deep Learning Jobs in Ridgefield Park, NJ

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Experience with training and deploying NLP deep learning models * Exceptional skills in Python, SQL ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Quantiphi, Inc.

Senior Machine Learning Engineer

New York, NY · On-site +1

$134K - $176K/yr

... Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been ... Deep expertise with the Google Cloud technology stack - e.g., Vertex AI, GKE, BigQuery, Cloud Run ...

ONETRACK.AI

Sales - Build Your Own Role

New York, NY · On-site +1

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to ... PTO and Flexible working hours and remote work options * Opportunities for professional growth and ...

Adaption

Modelling Resident (8-Month Contract)

New York, NY · On-site +1

$17.50 - $22.25/hr

Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow ... Strong communication and self-awareness - you know how to collaborate in a remote environment and ...

CoreWeave

HPC Performance Engineer

New York, NY · Remote

Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs * Docker, kubernetes (k8s ... Extensive, deep experience in Linux internals * Fluency with a programming language geared toward ...

vCluster Labs

AI Infrastructure Engineer

New York, NY · Remote

$140K - $165K/yr

Join Sales in the pre-sales process where deep infrastructure work is required to achieve a ... GPU Fluency: Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level ...

YO AI Labs

Senior Software Engineer - Remote

New York, NY · Remote

$134K - $176K/yr

Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Adidev Technologies

AI/ML

Hoboken, NJ · Remote

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Adidev Technologies Inc

AI/ML Developer

Manhattan, NY · Remote

Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Arize AI

AI Solutions Manager, East

New York, NY · On-site +1

$140K - $175K/yr

While we are a remote-first company, the nature of this role requires candidates to be based in the ... The team is composed of industry veterans that have built deep learning infrastructure, autonomous ...

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All JobsNvidia Deep Learning JobsRemote Nvidia Deep Learning JobsRemote Nvidia Deep Learning Jobs in Ridgefield Park, NJ

Remote Nvidia Deep Learning information

See Ridgefield Park, NJ salary details

$11.8K

$90K

$150.2K

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

As of Aug 15, 2026, the average yearly pay for remote nvidia deep learning in Ridgefield Park, NJ is $90,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $149,200.00 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.

What are popular job titles related to Remote Nvidia Deep Learning jobs in Ridgefield Park, NJ?

For Remote Nvidia Deep Learning jobs in Ridgefield Park, NJ, the most frequently searched job titles are:

What cities near Ridgefield Park, NJ are hiring for Remote Nvidia Deep Learning jobs?

Cities near Ridgefield Park, NJ with the most Remote Nvidia Deep Learning job openings:

Remote Nvidia Deep Learning jobs near you
Infographic showing various Remote Nvidia Deep Learning job openings in Ridgefield Park, NJ as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 27% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $90,023 per year, or $43.3 per hour.

Lead Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

About the Role, Mission or Department Overview

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

Responsibilities:

  • You will lead the design and training of embedding models for representation learning, for example using transformer encoders and Two Tower architectures.
  • You will lead the fine-tuning, adaptation, and evaluation of language models for custom product use cases and content enrichment, including information extraction from Times content at scale
  • You will productionalize embedding models and language models while working closely with engineering teams, to integrate ML and AI into user-facing products throughout The Times
  • You will help to define shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important
  • You will identify novel project opportunities to solve critical problems and act on those proposals
  • You will scope ongoing product improvements, prioritizing requests from your team
  • You will build and facilitate relationships across the organization to ensure you meet our projects' goals.
  • 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 plus 4+ years experience, or 7+ years experience, in machine learning, statistics, computer science, computational social science, or another quantitative/computational discipline
  • 4+ years of experience in creatively reframing our challenges as Machine Learning tasks
  • 4+ years of experience with data cleaning, preparation, feature engineering, and model selection techniques
  • 2+ years of experience coding and deploying in production environments using Python, developing and deploying complex algorithms that are integrated into company process
  • 2+ years of experience building production systems that use LLMs, vision-language models, graph neural networks, or other deep learning models to solve user-facing problems
  • 1+ years of experience mentoring peers or junior ML scientists through pairing and algorithm, model, and code review

Preferred Qualifications:

  • PhD or Master's research experience in Applied AI
  • 1+ years of experience with information retrieval or search systems
  • 2+ years of experience collaborating cross-functionally with product managers and software engineers
  • 2+ years of experience scoping and staging work into well-defined milestones and delivering on communicated timelines

REQ-020336

Compensation and Benefits For This Role:

In addition to base salary, this role is also eligible for variable pay, such as an annual bonus and restricted stock. Benefits include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, employee stock purchase plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. 

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