
ML Engineer
6 days ago
We are seeking a highly motivated and skilled ML Engineer to join our Biometric Algorithms team. In this role, you will be responsible for developing innovative algorithms for embedded biometric sensors and leveraging machine learning to enhance their performance and security. You will work closely with HW teams, contribute to the advancement of our biometric technologies and play a key role in productizing these algorithms for real-world applications.
Description
You will join a team that owns core algorithms driving Touch ID experience for users all around the globe. In this role, you are expected to: - Prototype and innovate biometric algorithms, applying machine learning and deep learning techniques to improve upon existing solutions. - Build robust mathematical models to project biometric performance across our diverse user base and hardware platforms. - Conduct thorough statistical analysis to evaluate algorithm accuracy, reliability and robustness. - Apply image processing techniques to enhance the quality of features extracted from our vast biometric data. - Collaborate with other team members on the productization of your algorithms, ensuring seamless integration into embedded systems. - Stay up-to-date with the latest advancements in machine learning, deep learning and biometric technologies. - Document research findings, algorithm design and its results clearly and concisely.
Minimum Qualifications
- Strong foundation in mathematical modeling principles.
- Proven experience in machine learning and deep learning techniques.
- Solid understanding of statistical analysis methods.
- Proven ability in image processing techniques.
- High proficiency in Python.
- Ability to independently learn, explore and experiment, cut through ambiguity and work with uncertainty, innovate down to the details.
- English proficiency.
Preferred Qualifications
- MSc/Ing. in Mathematics / Statistics / Computer Science
- Willingness to learn C/C++ if necessary
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
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