5 software engineer machine learning jobs at 5 companies in Charlotte, NC
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
The HartfordNYSE: HIG: Provides business and personal insurance, group benefits, and investments.
1+ YOEMust be authorized to work in the U.S.; 1+ years research/DevOps experience; experience with AWS and/or GCP, CI/CD (Jenkins), IAC (CloudFormation/Terraform), Unix, git, Python, workflow automation (Airflow/Autosys), and MLOps practices.
Artificial Intelligence/Machine Learning Data Engineer
Charlotte or Morristown or Jersey City or Cleveland or California or Colorado or District of Columbia or Illinois or Maryland or Massachusetts or Minnesota or New York or New Jersey or Washington
$44-$54/hrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOEMinimum 5 years in data/ML/AI or software engineering; strong Python and SQL; experience with LLMs, agent frameworks (LangChain, Semantic Kernel, LlamaIndex, AutoGen), ML deployment and data pipelines; Associate's degree required.
7+ YOE7+ years engineering experience, expertise in clustering, unsupervised learning, knowledge graphs, Python, ML frameworks, and building production ML platforms for enterprise use cases.
AI Engineer/ML Engineer - Senior Developers - AI Training - Charlotte, US
Charlotte or United States
$80/hrRemoteContract
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related quantitative field; production ML model experience; deep learning (Transformers, CNNs, RNNs); LLM workflows (Prompt Engineering, RLHF, RAG); ability to audit model logic and spot hallucinations/contamination.