Biometrics and AI Research Scientist

Thales Group-posted 3 months ago

$130,334 - $217,223/Yr

Full-time • Mid Level

Hybrid • Pasadena, TX

5,001-10,000 employees

Machinery Manufacturing

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Thales is looking for a Biometrics and AI Research Scientist in our Pasadena, California-based biometric algorithms team who 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, finger friction ridge, face, iris and scars/marks/tattoo recognition, biometric fusion, and presentation attack detection.

Develop state-of-the-art biometric algorithms and systems for image quality assessment, recognition, fusion, and presentation attack detection
Evaluate and continuously improve these algorithms for biometric performance, speed, and demographic equitability
Validate each improvement after system integration and for the targeted scenario
Stay abreast of the latest scientific publications in biometrics and pertinent fields of computer vision (CV)
Implement and evaluate published approaches to benchmark them against our own
Propose new approaches for features that differentiate us from the competition
Write near-production level code and practice secure coding standards
Collaborate closely with your team members while effectively using resources within the global organization
Grow into the role of a Thales-wide subject matter expert in your fields of specialization
Prepare submissions for internal and external technology evaluations
Occasionally support pre/post-sales projects
Secure IP by submitting patent applications
Shape research roadmaps in negotiations with product managers and business owners

A Master's of Science with 3+ years of industry in a relevant and technical discipline or a PhD in Electrical Engineering, Computer Science, or a related field
First-authored publications in related conference or journal if you possess a PhD
Prior experience in an analytical role using scientific rigor to create solutions
Collaborative skills with the ability and willingness to strive in a diverse environment
Prior completed-project experience in at least one of the fields: biometrics, 2D or 3D object detection & recognition, pose estimation, segmentation and texture analysis/synthesis
Experience in classical and deep-learning-based machine learning for CV applications
Background in stochastic signal analysis and detection, as relevant to these fields
A thorough understanding of the digital imaging processing
3+ years of strong coding skills experience in C/C++ in a corporate setting
Ability to effortlessly switch between the big-picture and detailed view of a problem

Extensive knowledge of deep learning on image processing including convolutional neural network, transformer neural network, graph neural network
Hands-on experience in designing, training, and deploying deep neural networks using PyTorch, Tensorflow, Onnixruntime or OpenVino
Experience in GPU programming using CUDA or OpenCL
Experience in developing algorithms for fingerprint recognition
Familiarity with concepts of cyber security

Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet Insurance
Retirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting period
Company paid holidays and Paid Time Off
Company provided Life Insurance, AD&D, Disability, Employee Assistance Plan, and Well-being Program

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