This is truly a unique opportunity to join a ambitious organisation who are building the foundational AI for defense. Their first cutting edge product is an automated targeting AI that detects, remembers, and shares targets in real time by watching any sensor on any network – Delivering modular, insightful knowledge of where adversaries are on any drone, ship, vehicle, satellite, or command center. It has been tested in more than DOD exercises on sea, land, and air and industry partnerships.
With more than $12M raised in funding so far this is a great time to join a hugely talented team and mission leaders in defense with the opportunity to make an impact from day 1.
What you'll do..
- You will be responsible for leading the development, iterative improvement and optimization of computer vision algorithms and models, driving the overall vision of our AI solutions
- Leading the design, development, and implementation of cutting-edge computer vision algorithms and models for defense applications
- Collaborating with software engineers, product managers, and data scientists to define and refine ML product requirements and deliverables
- Conduct research on the latest advancements in computer vision and machine learning, and identify potential applications
Required qualifications:
- Strong Proficiency in designing, training, & deploying state-of-the-art deep learning models.
- Strong proficiency in PyTorch or other popular ML framework.
- Strong proficiency in coding and data science.
- End-to-end proficiency at the model engineering process -- from data acquisition, storage, processing, and interface design, to model architecting and training, to local or cloud model deployment.
- Proficiency in Probability Theory and other mathematical areas relevant to ML
- The ideal candidate will have a publication record or demonstrate the ability to make novel contributions to computer vision research.
- Significant experience with computer vision, object detection, self-supervised learning, spatiotemporal deep learning, multimodal sensor fusion, and/or zero-shot learning.
- Experience with robust models & out-of-distribution data at test time.
- US Citizenship and eligibility for a Secret security clearance is required
If you are interested in this position, please apply via LinkedIn now!
