12 deep learning engineer jobs at 8 companies in McDonough, GA
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Machine Learning Engineer
United States or Louisville or Atlanta or Cleveland or Portsmouth or Europe or Asia or North America
$162k-$170k/yrRemoteFull Time
AMP: Develops AI-powered robotic systems for automated recycling sortation.
3+ YOEMaster’s degree or equivalent experience, 3+ years Python and production statistical modeling experience, software engineering practices, PyTorch, experiment design, and deep learning research fluency.
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
5+ YOE5+ years ML engineering experience, deep Python, Databricks and Snowflake proficiency, production ML deployment, ML evaluation and experimentation, strong software engineering and communication skills.
Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labas
Atlanta, Georgia, United States
$170k-$220k/yrHybridFull Time
BlackRockNYSE: BLK: Provides investment management and financial technology services globally.
Develops and deploys AI/ML solutions using machine learning frameworks, programming languages, deep learning, NLP, computer vision, cloud ML platforms, MLOps, and statistical analysis.
EquifaxNew York Stock Exchange: EFX: Provides consumer credit reporting and data analytics services globally.
3+ YOEPhD (3+ years) or MS (5+ years) in a quantitative field; strong deep learning foundation with Transformer experience; proficiency in Python; experience with representation learning, experimentation, and interpretability.
EquifaxNYSE: EFX: Global provider of credit reporting and data analytics solutions.
3+ YOEPhD with 3+ years or MS with 5+ years in a quantitative field; expertise in transformers, attention, sequence modeling, representation learning, mathematics, Python, and deep learning training dynamics.
Transformer, PyTorch, TensorFlow, Python, Kernel CCA
ZeroRFI: AI-powered intelligence platform for the built environment.
3+ YOEMaster's/PhD or equivalent, 3+ years building and deploying ML models, deep learning and computer vision expertise, strong software engineering and MLOps experience.
HoneywellNASDAQ: HON: Manufactures aerospace products, building technologies, and industrial control systems.
Bachelor's in a technical discipline required; strong expertise in machine learning and deep learning; leadership experience; excellent communication; ability to work with minimal supervision; U.S. Person required under export control.
AI Engineer/ML Engineer - Senior Developers - AI Training - Atlanta, US
Atlanta or United States
$80/hrRemoteContract, Part Time
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or related; experience building, deploying, or fine-tuning ML models in production; mastery of deep learning and LLM workflows (Prompt Engineering, RLHF, RAG); strong Python and ML tooling skills.
HoneywellNASDAQ: HON: Manufactures aerospace products, building technologies, and industrial control systems.
4+ YOEBachelor's in STEM, 4+ years data science and machine learning experience (Python), distributed compute (Spark), cloud model deployment (AWS/Azure/GCP), and deep learning frameworks (PyTorch, Tensorflow, Keras).
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
4+ YOERequires 4+ years in solutions engineering or technical field engineering, Python proficiency, deep learning and production LLM experience, cloud platform familiarity, and strong customer communication skills.
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
4+ YOE4+ years in solutions engineering or field engineering, proficiency in Python, experience with training/deploying deep learning models and production LLM applications, strong communication and problem-solving skills.
CoreWeaveNASDAQ: CRWV: Cloud platform providing GPU-accelerated infrastructure for AI workloads.
4+ YOE4+ years in solutions engineering or field engineering; proficiency in Python; hands-on experience with training, fine-tuning, evaluating, and deploying deep learning models and production LLM applications; strong communication and customer-facing problem solving.