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Director Google Machine Learning Engineer Jobs in Raleigh, NC

RELX

Principal Machine Learning Engineer I

Raleigh, NC

$136K - $252K/yr

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.

Apple

AIML - Staff Machine Learning Engineer

Cary, NC · On-site

$212K - $386K/yr

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

Telus Digital

Google CX Engineer

Durham, NC · On-site +1

Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google Customer ...

Apple

AIML - Staff Machine Learning Engineer

Cary, NC · On-site

$212K - $386K/yr

Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more.

Telus Digital

Google Cloud Engineer (GECX)

Durham, NC · On-site +1

$53.75 - $72/hr

Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google Customer ...

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI ...

Qualcomm

Machine Learning Compiler

Raleigh, NC

$160K - $240K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Lead a team of engineers focused on advancing machine learning compiler technologies for cutting-edge AI ...

RELX

Applied AI Engineer

Raleigh, NC · On-site

Develop a strong understanding of customer workflows and operational challenges through direct ... Partner closely with data scientists, machine learning engineers, designers, product managers ...

Google

Software Engineer AI/ML Networking

Raleigh, NC · On-site

Experience with Machine Learning Infrastructure. About the job Google's software engineers develop ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...

Deloitte

AI Solutions Architect

Raleigh, NC

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

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$35K

$89.4K

$137.1K

How much do director google machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for director google machine learning engineer in Raleigh, NC is $89,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $103,000.00 per year, depending on experience, location, and employer.
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Principal Machine Learning Engineer I

LexisNexis

Raleigh, NC • On-site

$136K - $252K/yr

Full-time

Posted 8 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 428 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 (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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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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