Zeitview (formerly DroneBase) is the leading intelligent aerial imaging company for high-value
 infrastructure, providing businesses with actionable, real-time insights through a single-source
 solution to recover revenue and reduce liability risk. Zeitview is the trusted, go-to data
 management platform for worldwide enterprise clients spanning industries such as renewable
 energy, insurance, telecommunications, construction, real estate, and critical infrastructure.

As an ML (Machine Learning) Engineer, you will help design and develop AI computer vision inference infrastructure across multiple industry verticals including solar, wind turbines, and commercial roofing. These models will need to be deployed in batch processing along with real time streaming architectures in a cloud environment. You will also help design and develop model monitoring frameworks to ensure the deployed models are functioning properly. Working collaboratively with product managers and ML engineers will be required to ensure the models are performing to the product specifications. 

Responsibilities:

• Building, monitoring, and deploying machine learning inference pipelines in cloud environments such as Amazon Web Services (AWS).
• Optimizing the machine learning inference pipelines to be faster, more scalable, and more robust.
• Collaborating, and roadmapping ideas with other members of the machine learning team and other cross functional teams.
• Write documentation on how to run, test, and use the various models and other programs that you will develop.

Qualifications:

• Bachelors Degree in Computer or Electrical Engineer, Statistics or Computer Science preferrred
• 2+ years experience with deploying computer vision models in a professional setting
• 2+ experience with deploying and monitoring machine learning models into production environments
• 2+ years specialization in deploying deep learning based computer vision models
• 2+ years experience with Python, Pytorch, and AWS
• 1+ years experience building highly scalable machine learning models that can handle large amounts of volume and data
• 1+ years experience working with aerial and/or geospatial imagery
• Experience with Metaflow and Pytorch Lighting
• Experience with collaborating with different teams to ensure models meet product specifications

Benefits:

• Work with the leading intelligent aerial imaging company with established, successful relationships across myriad industries
• Fun office atmosphere
• Stock incentive program
• Autonomy and upward mobility
• Diverse, equitable, and inclusive culture, where your voice matters