Senior Machine Learning and Pattern Recognition Engineer

Apple

View: 137

Update day: 24-04-2024

Location: Zürich Zürich ZH

Category: Beauty / Wellness

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Job content

Summary

Posted: Oct 25, 2021
Role Number: 200305131
We are searching for a senior engineer with a real passion for research and advancing machine learning and pattern recognition methods to solve real world problems. In this deeply technical team of practitioners of machine learning and pattern recognition, you will have the change to create and implement new machine learning algorithms for Apple’s future products in a very close collaboration with teams building the interfaces to expose these methods to our users. In this role, you will design new models and algorithms and have the opportunity to contribute to Apple future products that will delight millions of people. We are expecting you to be highly results-oriented and always think out of the box to solve challenging problems. You should have great passion to develop and perform research to advance state-of-the-art in AI and solve challenging technical real world problems at Apple.

Key Qualifications

  • 10+ years of industry experience with significant experience on delivering products using state-of-the-art machine learning and pattern recognition as well as advancing the state-of-the-art in the field.
  • Strong academic and publication record in top tier journals and conferences (e.g. CVPR, ECCV, ICCV, TPAMI, IJCF, NeurIPS, ICML, ICLR)
  • Solid foundation in applied ML with proven records of products and publications; key areas of interest: optical character recognition, handwriting recognition, computer vision
  • Expert knowledge and experience with developing algorithms that must run efficiently on resource constrained platforms
  • Passion on cutting edge computer vision/machine learning technologies and product delivery
  • Self motivated
  • Excellent problem solving skills
  • Excellent communication skills. Experience in presenting technical materials to a broad audience in conferences and meetings.

Description

The position requires significant machine learning and pattern recognition algorithms experience as well as strong understanding of hardware and passion about product development. The main tasks associated to this position range from algorithm development, design and implementation, to integration, optimization and benchmarking with an emphasis on performance and power. In this position, you will work closely with similar minds in a unique development team to build our stack of state of the art machine learning and computer vision algorithms. Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

Education & Experience

PhD in machine learning, pattern recognition, computer vision and minimum 10 years of industry experience with a focus on machine learning, pattern recognition, and computer vision.

Additional Requirements

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Deadline: 08-06-2024

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