About the job
ABOUT US
Orbital Insight, a wholly owned subsidiary of Privateer Space, Inc., leverages geospatial data and artificial intelligence to provide critical insights across a variety of sectors and applications.
In short, we help our customers know more, know better, and do better.
At the core of our offering is the TerraScope platform, which fuses disparate data sources and transforms vast quantities of information into actionable intelligence. This next-gen technology supercharges strategic decision-making and operational efficiency at every level of the defense and intelligence communities, as well as in commercial and civil applications.
ABOUT THE ROLE
- Execute against initiatives on our R&D roadmap, including investigations of new approaches, architectures, and paradigms for advancing the state of the art in Data Science, Computer Vision, and Machine Learning techniques for geospatial data
- Develop Machine Learning models and techniques to improve our core capabilities
- Work closely with product owners and incorporate customers’ feedback into our products
- Communicate and publish research findings in a variety of media, including internal presentations, blog posts, patents, and technical papers.
- Report on research and other deliverables to key stakeholders across the Engineering and Product Management teams.
- Work in a cross-functional team to incorporate new techniques and models into our platform
- Implement methodologies and metrics for measuring and monitoring performance to continuously improve our capabilities.
- Write proposals for new business problems that align with our company's goals
WHO WE’RE LOOKING FOR
- A proven leader with a track record of enabling data scientists and engineers to be successful in their role, with an emphasis on technical leadership experience
- 5+ years of demonstrable experience working with large and noisy datasets, and particular experience with datasets that have sparsity in some dimension (e.g., spatially, temporally) would be a big plus
- Ability to communicate complex concepts and results in a readily-understood manner to a wide audience
- Excellent coding skills and a passion for problem-solving in a fast-paced, highly entrepreneurial, and creative environment
REQUIREMENTS
- Masters degree in a STEM field (e.g., statistics, machine learning, computer science, physics, engineering); PhD preferred
- Must have designed, trained, and deployed Machine Learning models in production
- Experience in Python with a solid familiarity with NumPy, SciPy, pandas strongly preferred
- Expertise in machine learning, statistical modeling, and experiment design. A strong publication record in these areas is a huge plus.
- Experience with git, AWS (S3, EC2, etc.), Docker
- Expertise in working with geospatial data and/or satellite imagery would be an asset
- Experience working with Computer Vision and Deep Learning modeling is a plus
- Experience working with Synthetic Aperture Radar (SAR) is a plus
BENEFITS & PERKS
- We have amazing healthcare coverage - Orbital Insight covers 100% of premiums for employees and dependents!
- Dental and vision coverage
- 401K program
- Parental leave of 8 weeks (for non birthing parent) and 14 weeks (for birthing parent)
- Self-regulated time off
- Offices in Maui, Palo Alto, and Las Vegas
- Options with all offers!
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Privateer, we are dedicated to building a diverse, inclusive, and high-performance workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
