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Our mission at Orbital Insight is to understand what we’re doing on and to the Earth. We do this through our cloud-based SaaS platform, Orbital Insight Terrascope and on-premise offering, Terrabox, by ingesting geospatial data at massive scales, then applying state-of-art AI/ML and Data Science algorithms at scale. 

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.

This position will be based in our Arlington, Virginia office but will require some work at customer sites in the DC area. Occasional travel to corporate headquarters in Palo Alto, California may be required.

This position requires active TS/SCI clearance. 

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

• 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

• Active TS/SCI Clearance required
• Periods of working at customer sites in the DC area will be required
• 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

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.

Artificial Intelligence (AI)is transforming government. Across Defense, Health and Human Services, Homeland Security and Emergency Management, Sciences, Natural Resources and Regulatory functions- all are recognizing the power of human-machine teaming. Nothing moves in AI and machine learning (ML) without training data, and only high-quality training data can produce accurate and robust AI/ML powered solutions. Creating high quality training data at the scale necessary to meet the demands of our government mission partners is incredibly challenging. Few companies can do it. Even fewer can do it well. Since 2017, Figure Eight Federal has proven it can do both.

In March 2019, Figure Eight was acquired by Appen. Headquartered in the National Capital Region, Figure Eight Federal was created to specifically serve the needs of our government customers. Together, Appen and Figure Eight Federal, combine the best of human and machine intelligence to provide high-quality annotated training data that powers the world’s most innovative machine learning (ML) mission solutions. The Figure Eight platform enables ML and data-driven business solutions to scale across a diverse set of industries including retail, automotive, finance, manufacturing, agriculture, life sciences, robotics, and more. The Figure Eight platform transforms audio, video, text, and images into high-quality annotated data to support a variety of use cases ranging from computer vision and search relevance to data categorization and natural language processing (NLP). Learn more at www.f8-federal.com.

As a member of our team, you will be building annotation tools marking up text, audio, images, video and other datatypes for use in creating machine learning models. You will provide the amazing experiences for the users, fixing bugs as necessary and constantly working on improving the quality of our codebase.

Responsibilities

• Build Figure Eight Federal's client facing tools, including self-serving APIs, dashboards, reports
• Create prototypes, MVP and production software
• Technical input for new and existing product initiatives, assist with definition of product direction
• Define, design, troubleshoot, and debug complex, multi-tier distributed software applications
• Work with manager, engineers, product management and operation team to design and implement application features
• Estimate engineering effort, plan execution cycles, and rollout system changes
• Support product in a production environment on AWS

• Excellent knowledge of JavaScript and CSS
• 5+ years experience developing commercial web applications
• 3+ year experience with working with SQL (PostgreSQL) and NoSQL databases, AWS tooling
• 2+ year experience with working with Kafka
• 2+ year experience with working with Ruby and Ruby on Rails framework
• 2+ year experience with working with Kubernetes, docker
• 1+ year experience with working with Node.js platform
• 1+ year experience with React/Redux setup
• Proficiency with command line and Chrome Developer Tools
• Experience with Jira, Confluence
• Assertive "get things done" attitude
• Excellent communication skills (written and verbal)
• Ability to come in to the office 1-3 times per week

• Active clearance

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the Organization

Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private, state, and federal customers in the areas of cultural and environmental resources services, climate and energy change, information technology, and intelligence services. We are hiring creative, motivated, and talented people with a passion for doing what's right, what's smart, and what works.

Our mission is to change the way government interacts with and uses data and technology.  Our purpose is to help government to better serve its citizens.  Redhorse Corporation offers a proven approach to mission-focused innovation.  Design thinking helps us understand customer problems and develop better ways to solve them.  Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class engineers and data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible.  We are hiring creative, motivated, and talented people with a passion for doing what’s right, what’s smart, and what works. 

Position Description  

Redhorse Corporation is expanding our world-class knowledge graphs team to support a high-priority analytics project.  The Graph Data Scientist – Level III will serve as the senior data scientist on a cross-functional engineering team to quickly establish and continuously improve a knowledge graph-enabled analytics platform to support a focused analytic mission.  The Data Scientist will lead the analysis of a global-scale knowledge graph comprised of multiple commercial and open sources data sets, supporting human analysis, applied data science, and graph-based machine learning use cases. The work location for this position is in the National Capital Region (NCR) with the possibility of up 25% local travel. 

Primary Duties and Responsibilities for this position include:

• Contribute deep expertise and vision to the development of a mission-focused graph-enabled analytics platform, to include knowledge graph development and design, schema development, data science workflow development, machine-aided analytics, and graph-based machine learning initiatives. 
• Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases. 
• Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance. 
• Documents and presents requirements, design alternatives, and findings to team members and clients. 
• Drive the adoption and optimization of integrated development environments, data integration, data visualization, data mining, and analysis tools 
• Mentor and develop junior data scientists and other team members. 

• US citizen with TS/SCI US government clearance. Applicants who are not US Citizens and who do not have a current and active TS/SCI security clearance will not be considered for this role.
• Master’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience. 
• 8+ years of relevant work experience 
• Experience working with large scale knowledge graphs, native graph databases, and knowledge graph applications (e.g. rules engines, cognitive search, complex data exploration and visualization workflows, recommendation engines) 
• Experience with machine learning applications, e.g., natural language processing, computer vision, statistical learning theory 
• Experience in data scientist or ML Engineer role building ML models. 
• Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility. 
• Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models. 
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations. 

• Publications or presentations in recognized ML journals or conferences 
• Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization   

Executive Order Requirement:

While currently on HOLD, Redhorse recognizes that we may need to comply with Executive Order 14042 which requires Federal Contractors to ensure all U.S. new hires be fully vaccinated for COVID-19. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.

This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

EOE/M/F/Vet/Disabled