Machine Learning Engineer

Opportunity

Comon Solutions is a conservation-driven technology company employing artificial intelligence to bolster efforts to protect our natural capital and the communities that rely on them. We are focused on building the world’s highest resolution species distribution mapping system to enable faster and cheaper monitoring of ecological systems. Species-level monitoring of vegetation has broad impacts across conservation, climate mitigation, forestry management, emerging polyculture based agriculture, and more. We design, build, and refine the tools that empower leading geospatial teams to provide users with unprecedented resolution maps and actionable ecological metrics. We're seeking curious, passionate, and talented teammates to keep us moving in the right direction. Applications from individuals in underrepresented groups are highly encouraged to apply. 

This role includes

• Developing, implementing and optimizing image segmentation algorithms using computer vision, and ML techniques for a vegetation analysis application;

• Applying advanced statistical and machine learning techniques (e.g. segmentation, machine learning) to develop both prototypes and scalable (i.e. efficient, automated) data analyses;

• Designing, implementing, and supporting data ingestion and consumption pipelines for enterprise-scale datasets;

• Supporting product transformation from early development and prototyping phases through to product deployment.

Minimum Experience

• Passion for environmental conservation.

• 3 years of experience developing advanced image processing algorithms using computational imaging as well as machine learning via a hybrid architecture including spatial, temporal, and frequency domains.

• Substantial understanding of state-of-the-art image processing techniques used for de-noising, image reconstruction, feature enhancement, feature extraction, image segmentation, color correction, and compression.

• Advanced knowledge of machine learning techniques, deep learning and ML applications related to image enhancement.

• Proficiency in Python, additional experience in Java, C and/or C++ desired

• Image analysis and visualization with tools such as Python and/or Matlab

• Degree in Computer Science, Electrical Engineering, Applied Physics, or equivalent degree with specialization in image processing

• 3 years or more of relevant experience in the industry or academic research

Preferred Additional Experience

• Understanding of remote sensing capture technologies, particularly unmanned aerial vehicles (UAVs), satellite, and LiDAR;

• Experience with producing or assessing 3D data, specifically photogrammetry;

• Experience with GIS and spatial datasets;

• An understanding of natural systems and environmental assessment;

Location

Remote, located in the United States. Our work is entirely digital and we strive to create a work environment that is compatible with a healthy work/life balance.

How to Apply

If interested, please send your resume to ross@comon.solutions

Comon Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion, sex, pregnancy, sexual orientation, age, citizenship, marital status, disability, medical condition, gender identity, protected veteran status, or any other legally protected status. If you have a disability that requires accommodation, please let us know by sending a request to ross@comon.solutions