Data Scientist IV
About The Position
The AI and Data Science Section is seeking a Research Data Scientist IV to join the Machine Learning & Instrument Autonomy Group (MLIA) to research, mature, and infuse machine learning (ML) and other data science supporting technologies to advance robotic exploration and science. The Research Data Scientist IV will have the opportunity to join the applied machine learning for imaging spectroscopy team, to build products from the latest AVIRIS sensors (including NG, 3, and 5) and EMIT. Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Electrical Engineering, Physical Science, or related technical discipline with a minimum of 9 years of related work experience; or Masters in a related discipline with a minimum of 7 years of related work experience or PhD in related disciplines with a minimum of 5 years of related work experience.
- Broad knowledge of machine learning inclusive of tradition machine learning, deep learning and Gen AI architectures.
- Deep knowledge of remotely sensed data from airborne and orbital instrumentation, including advanced sensors.
- Demonstrated Principal Investigator leadership of independent, novel research capabilities.
- Demonstrated leadership of technical tasks involving teams of up to 6 persons
- Demonstrated success in competitive proposal calls in space-related areas
- ML publication record in respected, peer reviewed venues, or equivalent industry delivery experience.
- Experience with software engineering best practices.
- Demonstrated experience with rigorous validation for scientific investigations
- Strong written and oral communication skills including data visualization, presentation, and explanation of results.
- Team-building mentality, can-do attitude, and relentless commitment to project success.
- Experience working with HPC and/or cloud-based distributed computing systems.
Nice To Haves
- Optimizing and delivering algorithms to onboard, large-scale computing, or real-time operational systems.
- Working knowledge of uncertainty quantification and generative modeling.
- Experience working with imaging spectroscopy data for airborne or orbital instruments.
- Experience creating and validating large-scale data products based on machine learning.
- Familiarity with atmospheric retrievals, and ideally radiative transfer theory.
- Deep knowledge of machine learning architectures that are relevant and useful to imaging spectroscopy applications.
Responsibilities
- Conduct R&D of ML and related technologies for application to science and engineering challenges
- Develop and lead algorithm and data processing methods for airborne and satellite remote sensing platforms, planetary surface missions, and novel instrument designs
- Generate large-scale datasets and models from mission data
- Lead delivery-minded mid-sized (3-6 members) research teams on self-won and received tasks
- Collaborate with domain experts from a variety of natural science and space-related engineering fields
- Publicize work through peer-reviewed conference, workshop, and journal papers
- Facilitate the infusion of high quality, data-driven technologies throughout JPL and NASA.
Benefits
- variety of health, dental, vision, wellbeing, and retirement plans
- paid time off
- learning
- rideshare
- childcare
- flexible schedule
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Principal
