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Home Based Nvidia Machine Learning Jobs in Raleigh, NC

LexisNexis

Principal Machine Learning Engineer I

Raleigh, NC · On-site

$136K - $252K/yr

... 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 ...

LexisNexis

Senior Machine Learning Engineer III

Raleigh, NC · Hybrid

$118K - $219K/yr

This is a full-time position based in Raleigh, NC. (Hybrid - 3 days in office) About the Role We are seeking a Consultant-level Machine Learning Engineer to lead the implementation and scaling of AI ...

Nvidia

Senior ASIC Timing Engineer

Durham, NC · Hybrid

NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are ... will be determined based on your location, experience, and the pay of employees in similar ...

Nvidia

Senior Solution Engineer, Networking

Durham, NC

$53.50 - $68.75/hr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... IPC, race conditions, finite state machines, event processing loops, queue management, network ...

Nvidia

Senior Software Engineer, CUTLASS Platform

Durham, NC

$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 ...

Nvidia

Senior Memory System Architect

Durham, NC

This team drives memory system architecture in NVIDIA's world changing SOCs for deep-learning ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

3M HEALTHCARE

Senior AI Security Researcher

Durham, NC · On-site

$272 - $431.25/hr

Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Cybersecurity or ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Nvidia

Senior ASIC Design Engineer - GPU

Durham, NC · Hybrid

Positioned at the leading edge of artificial intelligence and deep learning, NVIDIA drives ... will be determined based on your location, experience, and the pay of employees in similar ...

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Principal Machine Learning Engineer I

LexisNexis

Raleigh, NC • On-site

$136K - $252K/yr

Other

Re-posted 6 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

189th of 492 rated business services

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 (, 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 (;br>
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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