Research Engineer Intern- Identity and Biometrics Solutions

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.

Research Engineer Intern

Pasadena, CA- Hybrid

Position Summary

Thales is seeking a highly motivated Master/PhD student to join our Pasadena R&D team for a 3-Month internship (starting at any time) in the field of computer vision, machine learning, and biometrics.

Regulatory Compliance Requirements

Must be a U.S. Person as defined in applicable law, or otherwise authorized or eligible for   authorization, to access to hardware, software, technology or technical data controlled under the Export Administration Regulations (EAR).

This position is eligible for the NORAM referral program for external candidates.  The level is Tier 1 - $2500.00

Key Areas of Responsibility

The successful candidate will have the opportunity to work with a team of experienced researchers, participate in cutting-edge research projects, gain hands-on experience, and contribute to the development of commercial products in the related field.

• Participate in ongoing research projects in computer vision, deep learning, and biometrics.

• Keep up-to-date with the latest advancements in related area

• Write efficient code using Python and C++

• Communicate effectively both in writing and speaking

• Participate in team meetings and contribute to project discussions

Minimum Qualifications

• Currently enrolled in a PhD or Master program in computer science, electrical engineering, or similar technical field

• Enthusiasm for R&D and a strong desire to contribute to the field

• Solid knowledge in image processing, computer vision, and machine learning

• At least 2 years of experience in one or more of following areas: Biometric Data Preparation, Deep Learning network design and training, Deep Learning Feature extraction, image enhancement and/ or restoration

• Deep learning design experience with CNNs, UNet, ResNet, EfficientNet, Vision Transformers

• Experience with DL model quantization and pruning techniques.

• At least one year of coding skills in Python/C++

• At least one year of experience on Pytorch

• Fast prototyping and validation of AI solutions

• Excellent communication and teamwork skills

The ideal candidate will have knowledge of biometrics and fingerprints recognition as well as publications on relevant conferences or journals.

If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community!

Pay Transparency

The anticipated compensation for this role is $40-$45 an hour. 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

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 [email protected].