Equipment utilized may include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon pump, AngioJet, etc.

For software engineers: Experience with WebServices and RESTful APIs Experience with Web technologies (e.g. HTML, CSS, JavaScript, TypeScript, Webpack/Vite, APIs) and DevOps practices (e.g. automated testing, build tools) Some experience in relational or non-relational databases (e.g. MongoDB, ElasticSearch), semantic technologies, natural language processing and machine learning Interest in or experience with Android development in Java and/or Kotlin.

Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.

You will collaborate with engineers and scientists to design and perform human subjects research, machine learning, software systems, and/or biomedical signal processing. Have classroom or professional experience conducting research on brain-computer interfaces, biologically-inspired artificial intelligence algorithms, connectomics, or human-machine teaming.

Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.

Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.

IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more.

Interest and/or experience in one or more of the following domains: digital signal processing, RF software engineering, algorithm development, software defined radio, and machine learning. Experience with modern machine learning development frameworks and platforms (e.g. Keras, TensorFlow, PyTorch) is expected.

Center 3 (19075), United States of America, McLean, VirginiaLead Machine Learning EngineerAs a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data. We are seeking a researcher to contribute to and lead pioneering work in neural interfaces, neurally-inspired AI and/or human-machine teaming.

We are seeking a Machine Perception Engineer to help us perform rapid prototyping for the Navy's future uncrewed, robotic, and autonomous systems. Are you looking to implement and integrate state-of-the-art machine perception technologies to enable autonomous robotic systems.

At least 5 years of post graduate professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.

Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.

Proficiency with hand tools and basic machine shop equipment (mill, lathe, drill press, etc). Comfort working with chemicals and cleaning solvents associated with machine repair. Experience with dynamic balancing equipment, lathe operation, and manual milling.

Four years of experience with machine architecture, operating system internals, file system and memory management, and assembly language (x64, ARM, MIPS). Certification: Certified Ethical Hacker (CEH)Malware sandbox analysis and forensics.