Machine Learning Scientist - 131908 Scripps Institution of Oceanography

$85,400 - $156,800/Yr

Scripps Institution Of Oceanography - San Diego, CA

Full-time - Mid Level

San Diego, CA

Professional, Scientific, and Technical Services

About the position

The Machine Learning Scientist position at UC San Diego's Scripps Institution of Oceanography involves engaging in cutting-edge research related to the application of machine learning methods for detecting geodetic and atmospheric transients. This role is part of a collaborative project funded by NASA, in partnership with the Jet Propulsion Laboratory, NOAA's National Weather Service, and the Pacific Tsunami Warning Center. The successful candidate will be responsible for developing and maintaining software that supports a real-time dynamic data server for the California Real Time Network (CRTN), which is crucial for providing precise positioning and navigation services to a diverse user community, including applications in transportation and water resource management. The Earth Section of the Scripps Institution encompasses a wide range of research areas, including geophysics, oceanography, and planetary physics. The Machine Learning Scientist will work within a vibrant research environment that includes a diverse team of academics, postdoctoral scholars, graduate students, and staff. The position requires a thorough understanding of research functions and the ability to apply machine learning techniques effectively within an established research group. The candidate will also need to demonstrate strong skills in statistical analysis, systems programming, and scientific programming, particularly in a Linux environment using languages such as Python and C. In addition to technical skills, the role demands excellent communication abilities to convey complex information clearly and concisely, both verbally and in writing. The Machine Learning Scientist will also be expected to manage projects effectively, prioritize tasks, and meet deadlines while working collaboratively with faculty, researchers, and students. The position offers an opportunity to contribute to significant advancements in the field of geophysics and atmospheric science through innovative machine learning applications.

Responsibilities

• Develop and maintain software for a real-time dynamic data server for the California Real Time Network (CRTN).
• Apply machine learning methods to detect geodetic and atmospheric transients as part of a NASA-funded project.
• Collaborate with the Jet Propulsion Laboratory, NOAA's National Weather Service, and the Pacific Tsunami Warning Center.
• Conduct statistical analysis and systems programming to support research objectives.
• Utilize scientific programming skills in a Linux environment with scripting languages such as Python and C.
• Communicate complex information clearly and concisely, both verbally and in writing.
• Manage projects effectively, demonstrating strong time management skills and the ability to prioritize tasks.
• Evaluate alternate solutions and develop recommendations for new analyses and workflows.
• Work independently and collaboratively within a team framework, fostering a supportive community environment.

Requirements

• Thorough knowledge of research functions and in-depth experience in machine learning applications.
• Experience with statistical analysis and systems programming.
• Strong experience in scientific programming, particularly in a Linux environment.
• Proficiency in scripting languages such as Python and C.
• Experience using common machine learning software.
• Thorough skills in analysis and consultation, particularly in machine learning analysis of geodetic and atmospheric data.
• Excellent communication skills, both verbal and written, with the ability to represent scientific data graphically.
• Experience in project management with strong time management skills.

Nice-to-haves

• Experience with real-time programming of high-rate geodetic data applications.

Benefits

• Health insurance coverage
• Dental insurance coverage
• Vision insurance coverage
• 401k retirement savings plan
• Paid holidays
• Paid time off
• Flexible scheduling options
• Professional development opportunities
• Tuition reimbursement for further education
• Employee discount programs
• Life insurance coverage
• Disability insurance coverage