NVIDIA Corporation

Senior Machine Learning Engineer

NVIDIA Corporation • $184K — $287K *
Seattle, WA 98115In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's degree or PhD in a quantitative field (Math, Statistics, Machine Learning) or equivalent experience.
  • 8+ years of experience in applying Machine Learning to operational systems.
  • Proven experience in building and deploying Machine Learning models in production.
  • Expertise in time series analysis and optimization algorithms.
  • Familiarity with cloud platforms like AWS and Kubernetes.
  • Strong proficiency in Python and software engineering principles.
  • Effective communication and technical presentation skills.

Responsibilities

  • Develop innovative machine learning algorithms and models for AI products.
  • Build production models for anomaly detection and usage optimization.
  • Create tools for real-time telemetry and efficiency metrics.
  • Develop forecasting models for global scale planning.
  • Analyze complex datasets for model training optimization.
  • Translate findings into actionable engineering solutions.
  • Collaborate on cross-functional projects to integrate machine learning into NVIDIA products.

Benefits

  • Opportunity to work on groundbreaking AI technology.
  • Access to cutting-edge hardware and software resources.
  • Collaborative work environment with cross-functional teams.
  • Opportunity for equity participation in the company.
  • Flexible work arrangements and potential for remote work.
Full 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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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