Java Programming, Python Programming, Framework, SQL, Agile methodologies, Machine learning techniques, Deep Learning, PyTorch, TensorFlow, MLflow
Data Science and Computer Vision Science are the heart of our products at Orbital Insight. We live at the intersection of all our company’s engineering, product, partnerships, and solution engineering efforts. We deeply understand all geospatial data sources we bring into our GO Platform, including satellite and aerial imagery, and a wide array of geolocation data. We understand our customers’ business questions, pain points, and how our products aim to answer those questions and soothe those pains. Our Model Engineering team builds algorithms and capabilities that expose the valuable information contained within the multitudes of data we ingest and put it into context for our customers. We strive to define, and continually refine, the State-of-the-Art in AI and analytics, and are on our way to building the best department in the geospatial arena.
As a manager in our Model Engineering team, you will have the opportunity to lead and grow a group of world-class Computer Vision Scientists. You will partner with engineers, data scientists, product managers, other business leaders throughout our organization, and our customers to support ongoing product development and innovation here at Orbital Insight. Come be a part of our journey to build the world’s best team in AI and analytics for overhead imagery and other geospatial data.
Who You Are
Passionate about people, science/technology, and the connections between themAn exceptional communicator, capable of conveying complex technical ideas and information in readily-understandable ways to a wide audience
A natural leader yet humble enough to know that you are always learning
You shy away from micromanagement, able to the right balance of both autonomy and guidance for each person on the team
Proactively, diligent, and you operate with conviction, yet you recognize when you’re wrong and easily move past your own mistakes
Comfortable working in a fast-paced environment where problems are often under-defined and ambiguous; you are capable of bringing clarity and delivery innovative solutions
Responsibilities
Qualifications
Additional Information
Orbital Insight is a fast growing provider of geospatial data and geo-analytic services to commercial, nonprofit and public sector clients across the globe. Leveraging advancements in computer vision and cloud computing, Orbital Insight is turning millions of images into a big picture understanding of the world that is quantitatively grounded in observation, creating unprecedented transparency, and empowering global decision makers with new sources of objective, quantified socio-economic insights.
We are backed by marquee investors such as Google Ventures, Sequoia Capital, In-Q- Tel and Bloomberg Beta, Orbital Insight is rapidly expanding its commercial and public sector capabilities. Come join us if you are unafraid to try new approaches and relentlessly seek to push the state of the art, taking projects all the way from prototype to production-ready.
At Orbital Insight, we believe that a diverse workforce that reflects the diversity of our planet is the way to achieve our mission: to understand what is happening on and to the Earth. Orbital Insight is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We do not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Orbital Insight.
Orbital Insight is a Palo Alto, California-based geospatial analytics company. The company analyzes satellite, drone, balloon and other unmanned aerial vehicle images, including cell phone geolocation data, to study a range of human activity, and provides business and other strategic insights from the data.