company

Engineering Manager, Inference Team

Engineering

Full-time

Description

As a critical part of its mission to help decision makers understand what we are doing on and to the Earth, Orbital Insight is building a platform for large scale analysis of geospatial data including satellite and drone imagery and global IOT data - with proprietary AI to analyze economic, social, and environmental trends at scale. The platform allows customers to ask and answer questions about the physical world -- much as a search engine answers questions about the virtual world. By making the Earth “searchable” our customers have been able to illuminate supply chains, track global commodities, conduct trade area analysis, monitor illegal deforestation, and further national security.

In order to support these capabilities and growing customer needs, we are launching a new Inference team in addition to our R&D team. The charter of the Inference team will be to develop, enhance, integrate, deploy, and continuously monitor computer vision and data science models to solve problems that are directly aligned with near-term customer needs and product priorities.

This will be a cross-functional team of computer vision scientists and data scientists focused on developing new CV and DS models, enhancing current models to continuously improve performance metrics, integrating these new models and enhancements, and deploying them into our GO platform. This team will also closely collaborate with the R&D team.

We are looking for a hands-on leader to build this team and be one of its founding members.

Who you are

  • You have a strong desire to rapidly iterate and produce production results aligned with customer needs.
  • You create a fun, learning and an accountable environment for your team.
  • You have strong technical foundations in computer vision, machine learning and statistical modeling.
  • You are passionate about finding avenues for continuous improvement.
  • You effectively partner with product and cross functional teams, ensuring alignment and delivery.
  • You invest in personal growth, both within yourself as well as your team
  • Resposibilities

  • Be a player-coach, provide hands-on technical leadership & develop computer vision models and data science techniques in alignment with customer needs.
  • Manage a team of computer vision scientists and data scientists.
  • Collaborate closely with product and content labelling teams to define training sets and ground truth data.
  • Manage short / long term roadmaps, project goals and delivery partnering closely with product and other engineering teams.
  • Work effectively cross-functionally to streamline the process of developing, training and releasing new geospatial algorithms and models.
  • Collaborate with other computer vision scientists, data scientists and machine learning engineers to develop new techniques and models.
  • Champion engineering excellence, establish metrics and drive continuous improvement.
  • Hire, nurture and retain best in class computer vision and data science talent.
  • Qualifications

  • US Citizen required (Eligible for US Government clearance)
  • Masters or PhD in Computer Science or related field (Degree in Computer Vision or Data Science is preferred)
  • 3+ years experience in using CNNs for computer vision, machine learning, and/or image processing (familiarity with frameworks like Tensorflow/Pytorch, and model architectures like ResNet/Faster R-CNN/Mask R-CNN)
  • 2+ years of experience designing, training and deploying computer vision / data science models in a production environment (industry experience is a must)
  • 3+ years years of tech lead experience working with computer vision / data scientists (any management experience is a bonus)
  • 5+ years of industry experience in data science, machine learning or software engineering disciplines
  • Strong coding skills (python preferred; experience with NumPy, SciPy, pandas strongly preferred). 
  • Nice to have prior experience with distributed data processing frameworks (like Spark/Hadoop), public clouds (like AWS), Docker.
  • 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.
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