Biometrics and AI Research Scientist
Thales
Biometrics and AI Research Scientist
Pasadena, CA- Hybrid
Regulatory Compliance Requirements
Must have U.S. or Dual Citizenship (with U.S. being one of the citizenships) and be able to obtain post-hire Public Trust Security Clearance from the Department of Homeland Security
Position Summary
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.
Key Areas of Responsibility
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
Minimum Qualifications
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
While not required, an ideal candidate could also have:
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
If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community!
Special Position Requirements
Occasional domestic or international travel to conferences, trade shows or industry events – approximately 10%
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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.We are an equal opportunity employer, including disability and veteran status. All qualified applicants will receive consideration for employment without regard to sex, 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.
The reference Total Target Compensation (TTC) market range for this position, inclusive of annual base salary and the variable compensation target, is between
Total Target Cash (TTC) 130,334.06 - 217,223.44 USD AnnualThis reflects how companies in a similar industry and geographic region generally pay for similar jobs. This range helps the Company make pay decisions as one data point among many. Where a position falls within this range is also dependent on other factors including – but not limited to – the employee’s career path history, competencies, skills and performance, as well as the company’s annual salary budget, the customer’s program requirements, and the company’s internal equity. Thales may offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.
(For Internal candidate, if you need more information, please reach out to your HR Shared Service, 1st Point)
Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following:
•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