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Machine Learning Engineer

OmniForce Solutions

This is a Full-time position in Seattle, WA posted April 29, 2021.

MACHINE LEARNING ENGINEER
  Experience training and applying deep neural networks for the identification of features and objects Experience training and applying deep semantic image segmentation Experience curating training data from simulated data for training deep neural networks Experience using GPU and other high-power compute for training deep neural networks Experience with Matlab and Python programming languages  
As part of a hardworking team of diverse engineers, you will design, build, prototype and demonstrate advanced machine learning architectures for safe landing site identification.

You are an expert in the field of deep neural networks applied to computer or robot vision, including detection, identification and segmentation.

The algorithms you design achieve highly accurate, super-human performance.

You excel at rapid prototyping and designing compelling technology demonstrations.

Your contributions will enable precision navigation on current and future spacecraft. 
We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight.

Passion for our mission and vision is required! 
 
Responsibilities of the Machine Learning Engineer:  Rapidly prototype deep network architectures for computer vision applications, including detection, identification and semantic image segmentation  Curate synthetic and real-world data sets for algorithm training and test  Design compelling technology demonstrations for customers and stakeholders Collect algorithm performance and characterization metrics Work collaboratively with internal product and technology domain experts on the infusion of high-impact solutions  Execute to project requirements as defined by project leadership  Maintain data and code bases for collaborative development and posterity Generate documentation and artifacts for posterity   
Qualifications for the Machine Learning Engineer: 
Required  Demonstrable expert developing, training, testing and deploying deep network architectures for computer or robotic vision  Experience with transfer learning applied to computer vision  Proven knowledge and experience collecting performance metrics for deep network applications  Experience with MATLAB deep learning packages is preferred; Practical knowledge of common development platforms (e.g., MATLAB, TensorFlow, PyTorch)  Experience with high-performance computer platforms (e.g., GPU, AWS) Excellent verbal and written communication skills  or lawfully admitted into the U.S.

as a refugee or granted asylum 
Desired  Ph.D.

in artificial intelligence field, or Ph.D.

in relevant technical field plus artificial intelligence experience  Experience working with U.S.

Government research agencies (e.g., NASA, AFRL, DARPA)  Experience merging simulated and real-world data sets to improve supervised learning performance.   
 

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