We are seeking a highly skilled Senior Applied ML Scientist to join our Applied Networking AI group. In this role you will help develop ML and data-science solutions in the fields of predictive-maintenance, root-cause analysis and AIOPS. You'll collaborate closely with subject-matter-experts (SMEs) and other stakeholders to push the envelope forward in using cutting-edge technologies and data-driven insights to improve NVIDIA's products.
As a key contributor you will own the entire ML science stack, driving projects from ideation to production and develop a deep understanding of NVIDIA's platforms.
What you'll be doing:
Lead ML projects in the field of predictive-maintenance and root-cause analysis.
Work with stakeholders (such as SMEs, product, engineers, architects, etc) and translate concrete business problems into ML and modeling formulations.
Experiment, refine and test hypotheses in a rigorous manner, and communicate results to stakeholders and management.
Deep-dive into complex data and modeling.
What we need to see:
Master's / PhD degree in mathematics, computer-science, physics, or in another engineering field from a leading university.
5+ years of hands-on experience solving business problems with applied ML research and data-science.
Excellent track of leading ML projects from ideation to production.
Excellent ability to convey and communicate data-based insights to stakeholders and management.
Ways to stand out from the crowd:
Publications/patents in AI/ML.
Experience working with big-data.
High energy and a positive, proactive and curious approach.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- Master's / PhD degree in mathematics, computer science, physics, or engineering
- 5+ years of hands-on experience in applied ML and data science
- Proven track record of leading ML projects from ideation to production
- Excellent ability to convey data-based insights
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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