6 entry level ml engineer jobs at 4 companies in Falling Waters, WV
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Systems Development Engineer, AI/ML Amazon Dedicated Cloud
Arlington or Herndon
$99k-$160k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
1+ YOERequires 1+ year systems engineering, networking, and software development experience; Linux/Unix, infrastructure automation, programming, systems design, and active TS/SCI clearance with polygraph.
Systems Development Engineer, AI/ML Amazon Dedicated Cloud
Arlington or Herndon
$99k-$160k/yrOnsiteFull Time
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
1+ YOERequires active TS/SCI with polygraph, 1+ years systems and software engineering experience, Linux and networking experience, proficiency with CI/CD, and ability to design resilient, scalable systems.
ParsonsNYSE: PSN: Provides engineering and technology services for infrastructure and defense.
2+ YOETop Secret/SCI required. Bachelor’s degree in EE/CS/CE or related, 2+ years software development experience, proficiency with Python and C/C++, Linux, Git; experience with AWS, Docker, Kubernetes, and ML frameworks preferred.
Python, C/C++, Linux, Git, Amazon Web Services (AWS), Docker, Kubernetes, PyTorch, TensorFlow, X-Midas, OpenCV, Keras, Qt/PyQt, Android, GitLab CI/CD, CUDA
Howard Hughes Medical Institute: Conducts biomedical research and funds scientific education and discovery.
PhD in neuroscience/computer science/engineering or related; experience with VR systems, hardware–software integration, ML and computational analysis; strong communication and independent research skills.
Johns Hopkins University: Private research university providing higher education and conducting research.
PhD by start in ML/CS/physics/chemistry/materials/chemical engineering or related; strong Python and PyTorch experience, generative modeling, GPU/HPC workflows, reproducible research and publication record.
Johns Hopkins University: Private research university providing higher education and conducting research.
Master's or Ph.D. in engineering or computer science, or final-year degree; robotics manipulation expertise; Python and C++; ROS/ROS 2, AI/ML, simulation, version control, Linux/Unix, and CAD experience.