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Home Based Nvidia Machine Learning Jobs in New York

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

... home cooks. Role and Responsibilities Design, train, and deploy machine learning and computer ... Preferred Qualifications Experience with embedded Linux, ARM-based platforms, or edge AI hardware.

Chefman

Machine Learning Engineer

Mahwah, NJ · On-site

... home cooks. Role and Responsibilities * Design, train, and deploy machine learning and computer ... Experience with embedded Linux, ARM-based platforms, or edge AI hardware. * Experience with ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... Must also possess: 2 years building & deploying ML-based applications, including data curation and ...

Acelero Learning

Home Based Visitor

New York, NY · On-site

$50K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Acelero Learning

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Visible Hands

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

Shine Early Learning

Home Based Visitor

New York, NY · On-site

$50K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Shine Early Learning

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Root Access, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$140 - $190/hr

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

  • Medical

  • Retirement

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... We're the largest global resource for index-based concepts, data and research, and home to iconic ...

Varsity Tutors

Machine Learning Tutor

White Plains, NY · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Paterson, NJ · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Glen Cove, NY · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Hempstead, NY · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

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Senior Applied Research Scientist - AI Native Numerical Methods

Nvidia

New York, NY • On-site, Remote

$107K - $137K/yr

Full-time

Posted 6 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

At NVIDIA, we are using accelerated computing and machine learning to create a new generation of AI-native scientific, engineering, and industrial simulation. We are seeking an applied researcher who can connect machine learning with numerical algorithms to make solvers faster, more reliable, and more efficient. This work focuses on ML methods inside and around numerical solvers, including AI-guided multigrid, solver-in-the-loop learning, differentiable simulation integrated with AI algorithms, and hybrid numerical / ML methods. We work across NVIDIA solver, simulation, and computational engineering platforms, with collaborators NVIDIA Research, universities, and industrial simulation teams.

The primary focus of this role is to invent AI-native numerical algorithms that combine machine learning with classical scientific and engineering solvers on modern GPU architectures.

What you'll be doing:

  • Research AI-assisted numerical methods that improve convergence, stability, accuracy, robustness, and wall-clock performance for large-scale scientific, engineering, and industrial simulations.

  • Invent learned coarse spaces, learned preconditioners, AI-guided multigrid methods, sequence-aware solver strategies, solver-control policies, differentiable solver components, and hybrid numerical / ML algorithms.

  • Build solver-in-the-loop pipelines using residual histories, discretized operators, meshes, geometry, simulation outputs, performance counters, and physics constraints.

  • Define evaluation methods that measure numerical impact, including convergence rate, failure rate, conservation, memory footprint, correctness, and end-to-end speedup.

  • Collaborate with teams across numerical methods, CUDA-X, Warp, PhysicsNeMo, NVIDIA Research, CAE, EDA, semiconductor, electronics, thermal-fluid, electromagnetics, and digital twin workflows.

  • Help define NVIDIA's applied research agenda for AI-native numerical methods and solver intelligence.

What we need to see:

  • PhD or equivalent experience in computer science, machine learning, scientific computing, applied mathematics, computational engineering, physics, or a related field.

  • 5 years of relevant work/research experience

  • Background in machine learning and scientific computing, with evidence of connecting ML methods to numerical algorithms.

  • Experience with PyTorch, JAX, or comparable deep learning frameworks, plus Python and GPU computing.

  • Working knowledge of PDEs, sparse linear algebra, iterative solvers, preconditioning, finite element / finite volume methods, optimization, or differentiable programming.

  • Research record in scientific machine learning, numerical linear algebra, or differentiable simulation integrated with numerical solvers.

  • Communication skills that support collaboration across AI research, numerical methods, product, and production software teams.

Ways to stand out from the crowd:

  • Evidence that ML methods improved real numerical solvers through faster convergence, fewer failures, improved robustness, or lower cost on industrial-scale simulations.

  • Experience with AI-guided multigrid, reduced-order components inside solver algorithms, neural operators connected to solver workflows, or automated solver control.

  • Experience with differentiable simulation, PDE-constrained learning, inverse design, uncertainty quantification, Bayesian methods, reinforcement learning for solver control, or automated algorithm selection.

  • Publications, software contributions, or collaborations in scientific computing, matrix computations, industrial simulation, CAE, EDA, semiconductor simulation, electronic build, thermal-fluid simulation, electromagnetics, or digital twins.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 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

Nvidia logo

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

Year founded

1993

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