Deep Learning Biometrics Scientist

Location: Pasadena, United States of America

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.

Deep Learning Biometrics Scientist

Pasadena, CA- Hybrid

Position Summary

Thales is looking for a Deep Learning Biometrics 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 and 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 and propose new approaches for features that differentiate us from the competition.

• Write near-production level code and practice secure coding standards.

• Prepare submissions for internal and external technology evaluations.

Minimum Qualifications

• A Master of Science in Electrical Engineering, Computer Science, or similar technical field with 3+ years of industry in a relevant/ technical discipline or a PhD in Electrical Engineering, Computer Science, or similar technical field

• First-authored publications in related conference or journal if you possess a PhD.

• At least 3 years of strong coding skills experience in C/C++

• Prior completed-project experience in at least one of the fields: biometrics, 2D or 3D object detection & recognition, pose estimation, segmentation, texture analysis/synthesis, and shape-from-X.

• At least 2 years of experience in classical and deep-learning-based machine learning for Computer Vision (CV) applications.

• A thorough understanding of the digital imaging processing.

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%

Pay Transparency

The anticipated Total Target Compensation (TTC) range for this role is $114,000 - $212,000 USD Annual. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's status protected by local, state, or federal law.

What We Offer

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,

Why Join Us?

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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.

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.