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Home Based Nvidia Machine Learning Jobs in Raleigh, NC

... based analytics and decision tools for professional and business customers. Our company has been a ... We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML ...

Senior Software Engineer, CUTLASS Kernels

Durham, NC · On-site

$118K - $156K/yr

NVIDIA's high-performance computing platforms are powering the AI revolution across many ... Write Tensor Core-based deep learning kernels such as grouped-GEMM, attention, and convolution ...

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

Understanding of deep learning models, algorithms, and frameworks. NVIDIA is widely considered to ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

... deep learning (DL), high-performance computing (HPC), gaming, virtual reality, and autonomous ... NVIDIA's line of CPU products! What you'll be doing: * Develop full-system functional models ...

NVIDIA is seeking a motivated architect to work with a team in solving complex problems while ... Defining and performing experiments to study the machine in action, presenting experiment results ...

... deep learning professionals to define the next generation CPUs and System on Chips? NVIDIA is ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

NVIDIA is seeking extraordinary power engineers to design hardware accelerators and processors on ... A new computing model - GPU deep learning - that enables computers to learn from data and write ...

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Registered Behavior Technician (RBT) / Behavior Technician (BT) - Home-Based ABA Raleigh, NC | $25 ... Our approach focuses on creating joyful learning opportunities that help children thrive in real ...

Senior Software Engineer, CUTLASS Platform

Durham, NC · On-site

$118K - $156K/yr

... based backend compiler stack for the CUTLASS Python DSL by designing dialects and associated ... learning models, algorithms, and frameworks. Company : NVIDIA is a computing platform company ...

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Home Based Nvidia Machine Learning information

What are the most commonly searched types of Nvidia Machine Learning jobs in Raleigh, NC? The most popular types of Nvidia Machine Learning jobs in Raleigh, NC are:
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Principal Machine Learning Engineer I

Principal Machine Learning Engineer I

RELX Group plc

Raleigh, NC • On-site

$136K - $252K/yr

Full-time

Posted 24 days ago


Job description

About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role
Do you love collaborating with teams to solve complex technical problems?
We are seeking a Principal Machine Learning Engineer to design, build, and operate scalable AI/ML systems and agentic architectures that support next-generation legal research and analytics products. This role combines deep ML expertise with distributed systems engineering and AI platform development.
You will play a key role in developing enterprise-grade AI systems, including large language model (LLM) infrastructure, retrieval-augmented generation (RAG) pipelines, and autonomous agent frameworks designed for complex large unstructured data.
Responsibilities:
  • Provide architectural direction and code-level guidance.
  • Establish engineering best practices for ML system design, testing, and deployment.
  • Conduct design reviews, performance reviews, and technical roadmap planning.
  • Architect distributed ML systems serving multiple global products.
  • Standardize infrastructure patterns for LLM serving and retrieval systems.
  • Define and implement enterprise-ready agentic frameworks.
  • Architect multi-step reasoning systems.
  • Lead decisions on deterministic workflows vs. autonomous agents.
  • Implement guardrails, safety layers, and traceability mechanisms.
  • Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.
  • Establish CI/CD standards for ML lifecycle management.
  • Ensure compliance with enterprise data governance and responsible AI standards.

Requirements
  • 10 + years of Machine Learning/Software Engineer experience
  • Master's degree or bachelor's degree, computer science degree is highly desirable.
  • Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data
  • Experience with ML deployment to production
U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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