Job Location: Pasadena, CA
Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.
As a Computer Vision Research Scientist in our Pasadena, California based biometric algorithms team, you will lead and conduct applied research towards the implementation and improvement of the algorithms underlying our world-class biometric product line. Research areas include biometric image quality assessment, face, finger friction ridge, scars/marks/tattoo and iris recognition, biometric fusion, and presentation attack detection.
Key Responsibilities:
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Develop state-of-the-art biometric algorithms and systems for image quality assessment, recognition, fusion, and presentation attack detection,
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evaluate and continuously improve these algorithms for biometric performance, speed, and demographic equitability,
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validate each improvement after system integration and for the targeted scenario,
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stay abreast of the latest scientific publications in biometrics and pertinent fields of computer vision (CV),
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implement and evaluate published approaches to benchmark them against our own,
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propose new approaches for features that differentiate us from the competition,
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write near-production level code and practice secure coding standards,
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collaborate closely with your team members while effectively using resources within the global organization,
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grow into the role of a Thales-wide subject matter expert in your fields of specialization,
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prepare submissions for internal and external technology evaluations,
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occasionally support pre/post-sales projects,
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secure IP by submitting patent applications,
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shape research roadmaps in negotiations with product managers and business owners
Required Skills and Experience:
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An MS in Electrical Engineering, Computer Science, or a related field with 10 or more years of experience or a PhD in Electrical Engineering, Computer Science, or a related field with 4 or more years of industry experience
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Proven problem solving skills using analytical and scientific rigor
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Collaborative skills with the ability and willingness to strive in a diverse environment,
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Proven experience in completing project execution in a commercial/industry setting in at least one of the fields: biometrics, 2D or 3D object detection & recognition, pose estimation, segmentation, texture analysis/synthesis, and shape-from-X,
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Prior experience exceeding 4 years of hands on work in classical or deep-learning-based machine learning for CV applications,
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Academic experience and/or industry experience in stochastic signal analysis and detection, as relevant to these fields coupled with an understanding of the digital imaging process, including its optical aspects,
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At least 4 years of coding skills in C/C++ in a corporate setting,
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Ability to effortlessly switch between the big-picture and detailed view of a problem,
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Excellent Team player with proven ability to accomplish goals through collaboration
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Ability to operate effectively and autonomously across multiple teams in situations of ambiguity leveraging problem solving skills and a willingness to learn with only high-level direction
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Prior experience communicating pertinent and technical information to external customers and other stakeholders on a regular basis
Preferred Skills and Experience:
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Two (2) or more first-authored patents or publications in peer-reviewed conference or journal in related field.
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Experience in developing algorithms for face, finger, iris, SMT recognition, biometric fusion, or presentation attack detection,
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Algorithm development experience in computational photography and 3A algorithms,
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Hands-on experience in designing, training, and deploying deep neural networks, preferably convolutional, using Tensorflow, PyTorch, Caffe, or Keras,
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Experience in GPU programming using CUDA or OpenCL,
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Familiarity with concepts of cyber security.
This position will require successfully completing a post-offer background check. Qualified candidates with (a) criminal history will be considered and are not automatically disqualified, consistent with federal law, state law, and local ordinances.
Successful applicant must comply with federal contractor vaccine mandate requirements.
Thales champions inclusion and we believe diversity strengthens the fabric of our culture. We are an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law
If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at talentacquisition@us.thalesgroup.com.
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