6 applied machine learning engineer jobs at 6 companies in Sugar Hill, GA
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Machine Learning Engineer
Charlotte or Morrisville or Dallas or Alpharetta
OnsiteFull Time
CRC Group: Wholesale and specialty insurance distributor and underwriting services provider.
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.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
7+ YOEMinimum 7–10+ years building applied ML products; experience with PyTorch/TensorFlow, LLMs and RAG, production ML systems, cloud platforms (AWS/GCP), and team leadership; BS required, MS/PhD preferred.
Dolby Careers Sr. Data Researcher Engineer (41222)
Atlanta, Georgia, United States
$141k-$170k/yrHybridFull Time
DolbyNYSE: DLB: Develops and licenses audio and visual entertainment technologies.
PhD in computer science or similar field; expertise in data management, distributed systems, databases, query optimization, applied data science, machine learning, algorithms, and cloud-edge architectures.
KPI Solutions: Designs and integrates automated warehouse and supply chain systems.
4+ YOE4+ years in Data Science, Analytics Engineering, or Applied Machine Learning with production delivery; strong SQL, Databricks, Python; data modeling and governance-ready datasets.
Sonatype: Secures software supply chains and automates open source governance.
5+ YOERequires 5+ years in applied data science, machine learning, AI engineering, or research; strong Python, ML/GenAI application development, LLM ecosystems, evaluation, Git, and software development practices.
Data Science Manager - Space Intelligence (Remote)
Atlanta, Georgia, United States
$110k-$240k/yrRemoteFull Time
The Home DepotNYSE: HD: Retailer of home improvement products and construction materials.
7+ YOE2+ MgmtBachelor's degree and 7+ years in data science, applied machine learning, or software engineering; 2+ years of people or technical leadership; Python, AI/ML, data pipelines, distributed systems, and cloud experience.