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
- Build high-performing and scalable computer vision models
- Work on all stages of the model development life cycle from defining data requirements, metrics, and labeling needs to deploying final models as part of the product
- Rapidly iterate algorithms to improve performance and generalization to new data
- Collaborate with stakeholders and end-user product owners to understand computer vision needs
- Stay current on the latest Machine Learning and Computer Vision research and implement state-of-the-art concepts in production
- Effectively communicate results and ideas via presentations and technical reports
- Based in our Arlington, Va. office but will require some work at customer sites in the D.C. area and occasional travel to corporate offices in Palo Alto, Calif.
WHO WE’RE LOOKING FOR
- Motivated and passionate about solving computer vision problems and pushing the boundaries of what is possible today
- Enjoy thinking out-of-the-box to develop innovative and creative solutions
- An exceptional communicator, capable of conveying complex technical ideas and information in readily understandable ways to a wide audience
- Proactively diligent, operating with conviction, yet recognizing when you’re wrong and easily moving past your own mistakes
- Comfortable working in a fast-paced environment where problems can be under-defined and ambiguous – capable of bringing clarity and delivering innovative solutions
REQUIREMENTS
- Active TS/SCI clearance
- Bachelor's degree in a STEM field (e.g. statistics, mathematics, machine learning, computer science, physics, engineering, etc.)
- Masters or PhD preferred
- 5+ years of industry experience in Computer Vision
- 3+ years of experience coding Computer Vision models in Python that live in production systems
- Experience in implementing object detection, classification, semantic segmentation, GANs, Transformers, Diffusion models, and Synthetic data generation from idea conception to production-grade model
- Experience in applying these techniques to overhead imagery (satellite and other aerial imagery) is a big plus
- Familiarity with frameworks like Pytorch, Tensorflow, and ONNX, and other tools such as MLFlow, Tensorboard, Kubeflow, Docker, and CUDA
- Ability to work both independently and collaboratively in a fast-paced environment
- Prior experience with Agile development methodologies
- Located in or ability to relocate to the Washington, D.C. area
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.
Top Skills
What We Do
Creating global access to our orbital highways and preserving their potential for future generations.
Because on Spaceship Earth, we are all crew