Thales is looking to improve the algorithms underlying their world-class biometric product line, specifically in areas such as biometric image quality assessment, finger friction ridge, face, iris and scars/marks/tattoo recognition, biometric fusion, and presentation attack detection.
Requirements
- Prior experience in an analytical role using scientific rigor to create solutions
- 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
Responsibilities
- 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
Other
- 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
- 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
- Occasional domestic or international travel to conferences, trade shows or industry events – approximately 10%
- Collaborative skills with the ability and willingness to strive in a diverse environment
- First-authored publications in related conference or journal if you possess a PhD
