Overview:
We are seeking a highly skilled Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine-learning algorithms and models. It will be important for you to possess a passion and experience with either graph neural networks (GNN), managing complex data sets, and data fusion methodologies.
Location:
Houston - hybrid in the office 2-3 times a week
What you will be doing:
What you will need:
Benefits:
One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer:
Salary:
$130,000 - $170,000
We value job-related knowledge and skills, education, and experience. That's why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.
Company Information:
Cognitive Space is delivering next-generation AI systems for the space industry through its CNTIENT platform, supporting several US Government agencies and the global space market. The company is unlocking the full use of space through AI for national security and economic prosperity in satellite operations, network management, and geospatial collections.
Cognitive Space Inc. is an equal opportunity employer. Cognitive Space Inc. does not discriminate in employment with regard to race, color, religion, national origin, citizenship status, ancestry, age, sex (including sexual harassment), sexual orientation, marital status, physical or mental disability, military status or unfavorable discharge from military service or any other characteristic protected by law.
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