Algorithms and Machine Learning Developer for Wireless Applications

Haifa, Israel
Software and Services

Summary

Posted: Nov 15, 2018
Weekly Hours: 42
Role Number: 200011476
Are you a big-picture thinker who loves setting ambitious goals? Do you have a passion for understanding how each line of code affects all the others? Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. In your role as an Apple RF Algorithms and Machine Learning Developer as part of Apple Connectivity Group, you will be part of a world-class group that pioneers RF systems solutions for Apple products. Dynamic, smart people and inspiring, innovative technologies are the norm here. Will you join us in crafting solutions that do not yet exist?

Key Qualifications

  • 3+ years of practical experience in RF algo development (PHY or Radar)
  • Hands on experience in MATLAB and Python
  • Solid theoretical foundation in classical signal processing
  • Solid theoretical foundation in Machine learning algorithms
  • Ability to work independently as well as part of a team
  • Leadership and excellent verbal and written communication skills
  • Ability to manage multiple tasks and prfioritize work accordingly

Description

We are looking for a candidate who can innovate and integrate machine learning and signal processing technologies, for solving novel and diverse sets of problems in various wireless sensors and communication technologies. You should have a strong background and experience in either Radar systems or communication systems PHY development. You’ll be working on ground breaking technology, researching and developing new solutions. Conduct basic research of existing solutions in literature; Perform mathematical analyses of the given problem and its proposed solutions; Implement simulations, conduct field experiments and create real-time prototypes.

Education & Experience

B.Sc / M.Sc. / Ph.D. degree in EE / CS.

Additional Requirements