Data Engineer - Machine Learning - Remote Optional

GeoVisual Analytics is changing the way crops are cared for in the US and around the world. Using routine monitoring of fields with drones, in-field scouting, and satellites, we’re applying our NASA-funded ML algorithms to analyze crop maturity, health, and predicted yields, helping farmers to dramatically reduce production uncertainties and increase profits. We’re headquartered conveniently between Boulder and Denver with a beautiful view of the front range right outside our window. We’re growing and looking for a few committed professionals to help us scale. If you love the concept of combining drone-gathered imagery with Data Science then we might be your next great adventure.

Our Values: Team Accountability, Social Impact, Intellectual Growth

As a member of the GeoVisual team, your role is critical in building tools that consume and transform data sets into readily available information for analysis by the team. You understand the fundamentals of statistical methods that... underlie machine learning and relish the opportunity to put them into practice. Engineering data pipelines and visualizations that shed light on the complexities of our research is your passion. You have an entrepreneurial spirit and the idea of using data to help the world grow healthy food and protect its natural resources excites you. If you are ready for your next challenge – let’s talk!

Your Values: Social Impact, Optimization, Intellectual Curiosity

Spend your days:

• Creating and maintaining data pipe architecture optimizing ML data delivery to analyze growth and predict yields using drone, satellite, and weather data
• Leveraging historical and real-time data that will allow informed labor and equipment scheduling
• Productionizing models into UI for visualization to leveraging data
• Designing, constructing, installing, testing, and maintaining highly scalable data pipelines
• Getting involved in developing the creative vision, design, development, and delivery of some amazing remote sensing solutions

What you’ll bring to the table:

• Undergraduate degree in Math or Engineering – Advanced degree preferred
• At least 3 years of experience as a data engineer using Python and PyTorch
• Demonstrated comprehensive experience with data modeling and data visualization – bonus points for GIS or Geo-Positioning exposure
• High proficiency with AWS infrastructure
• Knowledge of deep learning modeling techniques and trends, especially CNN based model architectures for computer vision applications
• Ability to build processes that support data transformation, data structures, metadata, dependency, and workload management
• Comfortable working within an Agile framework
• Creative, articulate, and competent communication style – you deliver your messages clearly, concisely, and confidently
• Strong interest in continuous learning and keeping up with emerging ML trends
• You have worked in a small company so you know what it means to shift priorities and wear many hats
• Desire to contribute to a team who is doing great things for humanity

Our team members enjoy:

• Salary $90 - $115k plus benefits
• An engaged, committed team of thought leaders to hang out with every day
• The opportunity to get in on the ground floor and help build a truly impactful company

Goldstone Partners is helping this scrappy, and talented team find focused professionals who want to help improve crop yield for the global population. Please send your resume to use directly at success@goldstonepartners.com. Principals only please. Applications welcome from US Citizens and Green Card Holders