Robotics Prcocess Automation, LLC
Machine Learning/AI (ideally Deep Learning)
Robotics Prcocess Automation, LLC, Irving, Texas, United States, 75084
Position:
Computer Vision Engineer or Machine Learning/AI (ideally Deep Learning)Location:
Irving, TXDuration:
12 Months + ExtensionHourly Rate:
Depending on Experience (DOE)Ideal Candidate Description:
You get excited reading about the latest advances in AI. You are intellectually curious and always pushing yourself to learn. Novel challenges drive you. Ambiguity is par for the course. You take pride in finding the simplest solution to complex problems. Doing the same thing every day would drive you crazy. You might not always know the answer off the top of your head, but you work hard to find the right solutions.Minimum Qualifications:MS in Computer Science with a specialization in Computer Vision or Machine Learning/AI (ideally Deep Learning) OR 2+ years of experience as a developer for high-tech products or services with 2+ years of hands-on experience delivering computer vision products and solutions.Responsibilities:Strong understanding of key computer vision concepts (expertise in detection and tracking, preferred).Experience with CV related Deep Learning Frameworks.Deep proficiency in at least one OO statically typed language (C, C++, Go) OR Python.Very fluent in OpenCV and one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these.Preference for candidates with experience optimizing/vectorizing code for real-time/production grade speed.Knowledge acquired earning a degree in Computer Science or Math would be of great value in this position.ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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Computer Vision Engineer or Machine Learning/AI (ideally Deep Learning)Location:
Irving, TXDuration:
12 Months + ExtensionHourly Rate:
Depending on Experience (DOE)Ideal Candidate Description:
You get excited reading about the latest advances in AI. You are intellectually curious and always pushing yourself to learn. Novel challenges drive you. Ambiguity is par for the course. You take pride in finding the simplest solution to complex problems. Doing the same thing every day would drive you crazy. You might not always know the answer off the top of your head, but you work hard to find the right solutions.Minimum Qualifications:MS in Computer Science with a specialization in Computer Vision or Machine Learning/AI (ideally Deep Learning) OR 2+ years of experience as a developer for high-tech products or services with 2+ years of hands-on experience delivering computer vision products and solutions.Responsibilities:Strong understanding of key computer vision concepts (expertise in detection and tracking, preferred).Experience with CV related Deep Learning Frameworks.Deep proficiency in at least one OO statically typed language (C, C++, Go) OR Python.Very fluent in OpenCV and one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these.Preference for candidates with experience optimizing/vectorizing code for real-time/production grade speed.Knowledge acquired earning a degree in Computer Science or Math would be of great value in this position.ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.
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