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Job Posting Title: R&D Machine Learning Engineer (Engineering Scientist Associate) ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled
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Position Location: Richmond Campus Driver Classification: Non-Driver FLSA: Exempt Schedule Type: Full Time (37.5 hrs per week or more) Hours Per Week: 37.5 Additional Schedule Details: Posted Salary Grade
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balance, that’s why we offer flexible schedules and remote work opportunities. In addition, we provide generous vacation and sick time and paid holidays which includes a winter break. Financial Protection
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either back-end Java development, front-end UI development, and/or signal processing algorithm development. This position will work on all phases of software application development ranging from
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
cost and schedule of every space mission. Traditionally, verification is treated as a binary outcome in that the system is tested against a set of criteria and determine to either meet or not meet it
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research questions. • Advise on research computing efforts in support of research project goals. Solutions Development: • Oversee budget and schedule for complex projects in research computing and data
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, computers and instrumentation hardware. Ability to install and oversee installation software algorithms for distributed controllers and maintain associated databases. Ability to coordinate maintenance and
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(HPC) best practices, advanced mathematical research into novel algorithms, and the utilization of machine learning techniques for code acceleration and the development of reduced-order "surrogate
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. Preferred Qualifications: Familiarity with running on scheduled clusters or cloud services. Experience in developing and applying biostatistics, AI, and ML-based solutions to healthcare data. Experience
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use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from the social sciences and