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Senior Meta Machine Learning Jobs in Raleigh, NC

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

Job Summary The Senior Data Scientist will leverage advanced analytical and machine learning expertise to extract insights from complex datasets and develop innovative, data-driven solutions. The ...

Sennos

Sr ML/AI Engineer

Durham, NC · On-site

$101K - $138K/yr

Position Summary The Senior ML / AI Engineer sits within the Data Team's AI, ML, and Data Science ... The role serves as a technical authority on advanced machine learning - helping Sennos formulate ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : • Working closely with other ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : • Working closely with other ...

Compunnel

Data Science-II

Raleigh, NC · On-site

The candidate will contribute to customer-facing products and work closely with Machine Learning ... operate as a senior-level data science practitioner and subject matter expert. Preferred ...

TARGAN Inc.

Senior Vision Software Engineer

Raleigh, NC · On-site

$150 - $200/hr

Senior Vision Software Engineer (R&D) Full Time Professional Raleigh, NC, US 30+ days ago ... Develop and implement machine learning derived software to solve business problems. * Integrate ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101K - $139K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Raleigh, NC

Senior Meta Machine Learning information

See Raleigh, NC salary details

$24.3K

$78K

$158.9K

How much do senior meta machine learning jobs pay per year?

As of Sep 9, 2026, the average yearly pay for senior meta machine learning in Raleigh, NC is $78,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $100,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are popular job titles related to Senior Meta Machine Learning jobs in Raleigh, NC?

For Senior Meta Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Senior Meta Machine Learning jobs in Raleigh, NC look for?

The top searched job categories for Senior Meta Machine Learning jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Meta Machine Learning jobs?

Cities near Raleigh, NC with the most Senior Meta Machine Learning job openings:

Senior Meta Machine Learning jobs near you

Senior Machine Learning Engineer III ***Raleigh, NC***

Raleigh, NC • On-site

RELX Group plc
Technology, Communication and Media • 10K+ employees
Learn more about RELX Group plcexternal

$118K - $219K/yr

Full-time

Re-posted 19 days ago

Job description

Are you looking to develop your Machine Learning Engineer career?
Do you enjoy coaching others to achieve high standards?
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 systems for legal products. This role focuses on how to build and scale-owning system architecture, infrastructure, and productionization of ML/LLM solutions.
You will partner with Data Scientists to turn validated models and prototypes into reliable, high-performance, customer-facing systems.
Key Responsibilities
  • Architect and implement scalable ML/LLM systems in production.
  • Build and deploy LLM applications, including RAG pipelines and agentic systems.
  • Implement hybrid search systems (semantic + lexical) using embeddings and search platforms.
  • Develop and maintain APIs, microservices, and model serving infrastructure.
  • Build data pipelines and streaming systems for large-scale data processing.
  • Define and develop reusable frameworks, libraries, and infrastructure for AI/ML across teams.
  • Optimize systems for latency, scalability, reliability, and cost efficiency.
  • Establish best practices for deployment, monitoring, observability, and CI/CD.
  • Collaborate with Data Scientists to productionize models and integrate into products.
  • Provide technical leadership in system design and engineering standards.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Strong experience implementing and scaling production ML/LLM systems.
  • Deep experience with LLM application development, including RAG and prompt orchestration.
  • Strong experience designing and implementing agentic systems using agent frameworks (e.g., LangChain, LangGraph, AutoGen, Google ADK), including orchestration of multi-step workflows in production environments.
  • Strong experience with hybrid search (semantic + lexical), embeddings, and search platforms (e.g., Solr, OpenSearch).
  • Expertise in distributed systems and cloud-native development, including AWS (S3, DynamoDB).
  • Experience with streaming and messaging systems (e.g., Kafka, SQS) and caching (e.g., Redis).
  • Proficiency in Python and experience with systems languages (e.g., Rust, Go, Scala).
  • Experience building scalable APIs (REST/GraphQL).
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Strong software engineering fundamentals (system design, testing, CI/CD).

Preferred Qualifications
  • Experience with LLM platforms (e.g., ChatGPT/OpenAI, Claude, Gemini, LangChain, Google ADK).
  • Experience with DevOps and infrastructure as code (e.g., Terraform, CloudFormation, Jenkins).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Familiarity with graph databases (e.g., Dgraph, Neo4j, Neptune).
  • Experience building high-availability, low-latency systems.
  • Experience in legal or regulatory domains.

Key Competencies
  • Strong system architecture and scalability mindset.
  • Ownership of implementation, performance, and reliability.
  • Ability to translate data science solutions into production systems.
  • Cross-functional collaboration with DS, product, and platform teams.
  • Excellent debugging, optimization, and operational skills.
  • Clear communication of technical designs and trade-offs.

#AIFluent
U.S. National Base Pay Range: $118,300 - $219,800. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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