ProVoyance: AI-powered surgical planning software for orthopedic procedures.
2+ YOEBachelor's in related field, 2+ years medical image analysis or deep learning experience, proficiency in Python, PyTorch, NumPy, Git, familiarity with DICOM/NIfTI and volumetric imaging, strong ML and Linux skills.
Chicago or Miami or New York City or Oakbrook Terrace or Nashville or South Bend or Tampa or Atlanta or Boston or Dallas or Houston or Grand Rapids or Austin or Charlotte or Indianapolis
$74k-$148k/yrOnsiteFull Time
Crowe: Global professional services firm providing audit, tax, and consulting.
4+ YOE4–6 years AI/ML engineering; strong Python, cloud, distributed systems; deep learning frameworks; VMs and containerization; experience with LLMs and vector databases; travel up to 80%
DowNYSE: DOW: Manufacturer of advanced chemicals, plastics, and specialty materials.
3+ YOE3+ years ML experience, Bachelor’s degree (or 8 years relevant experience), proficiency with Databricks and Azure, Python and ML frameworks, strong ML/MLOps skills, and legal ability to work in the U.S. without sponsorship.
GE AerospaceNYSE: GE: Designs and manufactures jet engines and aerospace systems.
10+ YOEBachelor's in CS/STEM, 10+ years engineering experience, production AI/ML systems and end-to-end service delivery, strong software and DevSecOps/MLOps skills, US person and ability to obtain security clearance required.
GE AerospaceNYSE: GE: Designs and manufactures jet engines and aerospace systems.
10+ YOEBachelor's in CS/STEM, 10+ years in production AI/ML and enterprise architecture with technical team leadership; experience with LLMs, RAG, vector DBs, MLOps, cloud and containerization; domain knowledge of aero engine engineering and regulated environments; US person and ability to obtain security clearance.
Irvine or Denver or Indianapolis or Grand Rapids or Lexington or Los Angeles or Louisville or Texas or San Francisco or United States
$218k-$225k/yrOnsiteFull Time
Trace3: Provides IT consulting and technology solutions for enterprise digital transformation.
12+ YOE5+ MgmtBachelor's in CS/EE or related; 12+ years enterprise infrastructure experience with 5+ years designing and implementing production-scale AI/ML/HPC (multi-rack GPU) and 5+ years people leadership; familiarity with GPU compute, high-performance networking, scale-out storage, Kubernetes/Slurm/Run:ai, and AI security; willingness to travel up to 50%.