Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. We’re looking for a Remote Sensing AI Researcher who will build out and design machine learning infrastructure for ateam of data & remote sensing scientists, working collaboratively with the Analytics, and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Remote Sensing AI Researcher means that you will be responsible for developing new research that can lead to new products and publications. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.
As a Remote Sensing AI Researcher your responsibilities will include:
Conducting novel research applying AI/ML to OSK’s satellite hyperspectral imagery.
Helping transition research to production, deploying models for both batch and online inference as well as embedded on the satellites.
Produce analytical infrastructure for AI/ML pipeline development.
Inform colleagues and mentor Individual Contributors about AI/ML opportunities, and tasks.
Publish your research in geospatial and/or AI conferences, write blog posts to show off your work.
Basic qualifications:
3+ years experience in ML/AIMS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.
Python, Pytorch, ML Flow/ClearML, DVC, Ray, Dask, Python data science stack
Comfortable training models in a cloud (AWS) environment as well as using best practices to track ML experiments.
Ability to work independently as well as collaboratively in a startup environment
Excellent written and oral communication skills.
Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray.
Preferred Skills and Experience:
Relevant publications applying AI/ML to remote sensing data at top conferences.
Benefits of Working at OSK:
We offer competitive compensation and equity packages.
Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents.
ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a U.S. citizen or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
