Computer Vision Scientist - Federal

Key Skills

Aartificial intelligence, Computer Vision (CV), Data science techniques, Deep Learning, Docker, Kubeflow, Machine learning techniques, MLflow, Python Programming, PyTorch, Statistics, TensorFlow

Job Description

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 TerraScope 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 computer vision team in the world for large scale automated analysis of remote sensing imagery and geolocation data.

As a member of our computer vision team, you will have the opportunity to tackle new and interesting computer vision problems and work with a brilliant team of scientists and engineers. Our team has a true passion for data and a commitment to building the highest performing models and products for our customers. If you join us, you’ll have the freedom to approach, own, and solve problems creatively. 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

Motivated and passionate about solving computer vision problems and pushing the boundaries of what is possible today

Enjoys 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, 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 can be under-defined and ambiguous--you are capable of bringing clarity and delivering innovative solutions

Responsibilities

Build high-performing and scalable computer vision models

Work on all stages of 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 ML/CV research by reviewing papers and implementing state-of-the-art concepts

Effectively communicate results and ideas via presentations and technical reports

Qualifications

BS degree in a STEM field (e.g. statistics, mathematics, machine learning, computer science, physics, engineering, etc.)

MS or PhD preferred

5+ years of industry experience in Computer Vision

Experience in using Deep Learning for object detection, classification, and segmentation tasks

Experience in applying these techniques to overhead imagery (satellite and other aerial imagery) a big plus

3+ years experience coding Computer Vision models in Python that live in production systems

Familiarity with frameworks like Pytorch and Tensorflow and other tools such as MLFlow, Tensorboard, Kubeflow, and Docker

Ability to work both independently and collaboratively in a fast-paced environment

Prior experience with Agile development methodologies

$145,000 - $185,000 per-year-salary

Salary range includes annual base salary only