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Home Based Nvidia Machine Learning Jobs in New York

Nvidia

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

NOUS RESEARCH

Machine Learning Engineer

New York, NY · On-site

We're looking for an MLE to scale the training and deployment of large transformer-based models ... NVIDIA GPU programming (Triton, CUTLASS, custom CUDA kernels) and deep NCCL knowledge * FP8 or FP4 ...

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 ...

New

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 ...

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 ...

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 ...

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 ...

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 ...

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

Paramus, 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

Yonkers, 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 ...

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Senior Machine Learning Engineer

Nvidia

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 11 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 244 rated software companies

Job description

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs. DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic infrastructure powering large language models, drug discovery, autonomous driving and climate science. Your models will turn billions of telemetry signals into predictive insight. This frees customers to innovate while our platform runs smarter.

What you'll be doing:

  • Ground breaking and developing innovative machine learning algorithms and models that propel our AI products.

  • Build production models for anomaly detection, predictive maintenance and usage optimization.

  • Develop tools surfacing real time telemetry, efficiency metrics and long term trends.

  • Develop forecasting and simulation models for global scale planning.

  • Analyzing complex datasets to determine the best approach for model training and optimization.

  • Translate findings into clear engineering actions with infrastructure, operations and product teams.

  • Participating in cross-functional projects to integrate machine learning capabilities into various NVIDIA products.

What we need to see:

  • Master's degree or PhD in Mathematics, Statistics, Machine Learning or related quantitative field (or equivalent experience).

  • 8+ years experience applying Machine Learning to operational systems.

  • Proven track record of building and deploying Machine Learning models in production environments.

  • Experience with time series analysis and optimization algorithms.

  • Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes.

  • Strong software engineering skills and proficiency in Python.

  • Effective verbal/written communication, and technical presentation skills.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • A track record of delivering high-impact projects to compete in a fast-paced environment.

Ways to stand out from the crowd:

  • Experience solving capacity planning problems.

  • Deep understanding of GPU performance metrics.

  • Familiarity with prometheus and PromQL.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 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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