12 senior machine learning engineer jobs at 6 companies in Dunn, NC
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Machine Learning Compiler Engineer
New York City or Austin or San Diego or Raleigh
$201k-$301k/yr OnsiteFull Time
6+ YOEExperience in compiler development, computer architecture, machine learning, and software engineering; degree in CS/math/engineering; strong communication and research skills; experience with ML compiler tools and generative AI workflows.
MLIR, LinAlg, Affine, PyTorch 2.0, TVM, Triton, LLVM, Hexagon-MLIR, Hexagon Neural Signal Processor, Adreno GPUs
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Principal Machine Learning Engineer I
Raleigh, North Carolina, United States
$136k-$253k/yr OnsiteFull Time
10+ YOE10+ years of ML/Software engineering experience; strong software engineering; production ML deployment experience.
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Senior Machine Learning Engineer - News, Books, and Stocks Team
Cary, North Carolina, United States
OnsiteFull Time
Experienced in machine learning and client engineering, working on distributed teams; strong problem-solving, collaboration, and respect for teammates.
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Principal Machine Learning Engineer I
Raleigh, North Carolina, United States
$136k-$253k/yr OnsiteFull Time
10+ YOE10+ years ML/software engineering experience, advanced degree preferred, strong systems architecture, LLM/RAG/agent experience, ML production deployment, CI/CD and responsible AI compliance.
LLM, Retrieval-Augmented Generation (RAG), CI/CD
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Machine Learning Engineer
Charlotte or Morrisville or Dallas or Alpharetta
OnsiteFull Time
5+ YOEBachelor's degree with 5+ years relevant experience (6–10 preferred), 2+ years applied ML engineering, strong Python and ML framework skills, Databricks/Azure experience, MLOps and CI/CD familiarity, strong communication.
Python, Databricks, Azure, MLflow, Lakehouse Monitoring, Azure DevOps, MLOps, CI/CD
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Machine Learning Engineer Lead
Raleigh, North Carolina, United States
$115k-$192k/yr OnsiteFull Time
8+ YOE2+ Mgmt8+ years ML/software engineering experience, 2+ years people management, experience deploying ML to production, distributed systems and ML architecture, responsible AI and data governance knowledge.
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Staff Machine Learning Engineer - News, Books, and Stocks Team
Cary, North Carolina, United States
OnsiteFull Time
Work on machine learning and client engineering for consumer apps in a distributed team; collaborate, teach, and solve hard ML problems.
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Machine Learning Engineer Lead
Raleigh, North Carolina, United States
$115k-$192k/yr OnsiteFull Time
8+ YOE2+ Mgmt8-10 years ML/Software Engineering exp; 2-3 years people management; Master’s or Bachelor’s in Computer Science; strong software engineering; production ML deployment experience.
Python, Distributed Systems
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Machine Learning Engineer Lead
Raleigh, North Carolina, United States
$115k-$192k/yr OnsiteFull Time
8+ YOE2+ Mgmt8-10 years ML/Software engineering; 2-3 years people management; Master’s or Bachelor’s in CS; strong system design and production ML deployment experience.
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Senior Machine Learning Engineer III ***Raleigh, NC***
Raleigh, North Carolina, United States
$118k-$220k/yr HybridFull Time
Design and productionize scalable ML/LLM systems, build RAG and agentic applications, implement hybrid search and data pipelines, and provide technical leadership in system architecture and reliability.
LangChain, LangGraph, AutoGen, Google ADK, Solr, OpenSearch, AWS, S3, DynamoDB, Kafka, SQS, Redis, Python, Rust, Go, Scala, REST, GraphQL, Docker, Kubernetes, ChatGPT/OpenAI, Claude, Gemini, Terraform, CloudFormation, Jenkins, Spark, Hadoop, Dgraph, Neo4j, Neptune
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Principal Machine Learning Engineer I
Raleigh, North Carolina, United States
$136k-$253k/yr OnsiteFull Time
10+ YOE10+ years of ML/Software Engineering; advanced degree; strong system design and production ML deployment experience; large-scale unstructured data handling.
Python, Distributed Systems, Machine Learning, CI/CD, LLM deployment, Retrieval-Augmented Generation
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AI Engineer/ML Engineer - Senior Developers - AI Training - Raleigh, US
Raleigh or United States
$80/hr RemoteContract, Part Time
Advanced ML expertise with production experience building/deploying/fine-tuning models, deep learning and LLM experience (RLHF, RAG, prompt engineering), strong analytical skills, and a degree in CS/AI/Robotics or related quantitative field.
PyTorch, TensorFlow, Keras, Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers, AWS (SageMaker), Google Cloud (Vertex AI), Weights & Biases, LangChain, Pinecone, Milvus, Weaviate