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From Home Embedded Machine Learning Jobs in Raleigh, NC

Senzit

Firmware Engineer

Raleigh, NC · On-site

Design, develop, test and debug embedded firmware code. * Design for testability The ideal ... based logic and machine learning algorithms to deliver real-time machine data and actionable ...

Senzit

Firmware Engineer

Raleigh, NC

Design, develop, test and debug embedded firmware code. * Design for testability The ideal ... based logic and machine learning algorithms to deliver real-time machine data and actionable ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217.20K/yr

Experience transitioning algorithms from MATLAB/Python prototypes to optimized C++ implementations. * Experience with real-time Linux or embedded environments. * Experience applying machine learning ...

Vadum Inc

Electronic Warfare Systems Architect

Raleigh, NC · On-site

$217.20K/yr

Experience transitioning algorithms from MATLAB/Python prototypes to optimized C++ implementations. * Experience with real-time Linux or embedded environments. * Experience applying machine learning ...

RELX

Principal Data Scientist I

Raleigh, NC

They should be able to move from problem discovery to modeling, experimentation, application ... What You'll Do Applied AI, Machine Learning & Data Science * Lead design, development ...

LexisNexis

Principal Data Scientist I

Raleigh, NC · On-site

They should be able to move from problem discovery to modeling, experimentation, application ... What You'll Do Applied AI, Machine Learning & Data Science * Lead design, development ...

LexisNexis

Principal Data Scientist I

Raleigh, NC · On-site

They should be able to move from problem discovery to modeling, experimentation, application ... What You'll Do Applied AI, Machine Learning & Data Science * Lead design, development ...

Plume

Senior Wireless Firmware Engineer

Raleigh, NC · Remote

$116.20K - $153.60K/yr

Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected ... home offerings while gleaning insights from their own data. With a bias for action and a love for ...

Eaton

Lead Embedded Hardware Engineer

Raleigh, NC · On-site

$97K - $143K/yr

... machine interfaces • Translate product requirements into robust technical specifications in ... Basic Qualifications: -Bachelor's degree in Engineering from an accredited institution -Minimum of ...

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See Raleigh, NC salary details

$68K

$149.1K

$169.1K

How much do from home embedded machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for from home embedded machine learning in Raleigh, NC is $149,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,800.00 and $168,200.00 per year, depending on experience, location, and employer.

What jobs make 3000 a month without a degree?

In the field of embedded machine learning, entry-level roles such as remote data annotators, AI support specialists, or freelance machine learning assistants can earn around $3,000 per month without a degree, especially with relevant skills in programming, data handling, and familiarity with tools like Python or TensorFlow. These positions often require self-learning, online certifications, or prior experience working with embedded systems and AI models remotely.
What are the most commonly searched types of Embedded Machine Learning jobs in Raleigh, NC? The most popular types of Embedded Machine Learning jobs in Raleigh, NC are:
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From Home Embedded Machine Learning jobs near you
Senior Machine Learning Engineer III ***Raleigh, NC***

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

RELX Group plc

Raleigh, NC • On-site

$118.30K - $219.80K/yr

Full-time

Posted 8 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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