Advanced Development Intern

Are you passionate about pioneering technology that improves lives? Starkey is looking for a forward-thinking, hands-on algorithms intern to join our Innovation Team in Tel Aviv and drive the future of hearing. In this role, you'll be at the forefront of innovation - working with brilliant engineers and researchers on solving real world problems through signal processing and machine learning. If you're ready to combine technical innovation with creative vision in a collaborative, fast-paced environment, this is your opportunity to make a real impact in one of the world’s leading hearing aid companies.

Starkey is a world leader in the manufacturing and distribution of advanced hearing technologies. We are in the business of connecting people and changing lives. Our teams come to work each day focused on ensuring people everywhere have the products and services they need to hear better and live better.

Founded in 1967 by Bill Austin, Starkey is known for our cutting-edge hearing health innovations, industry-leading research and development, and not being afraid to push the edge of what’s possible. We have over 5,000 employees in 29 facilities across the globe and do business in more than 100 markets worldwide.

Watch this video to see more of what sets Starkey apart: https://youtu.be/9cUYwTlCepg?si=wkovx8_R_iINfrc6

Why Join Us

• Make a difference: Help shape products that improve people’s hearing and quality of life
• Your dream job: Have the liberty and ability to explore your own feature ideas - build prototypes and then products that reach millions of people worldwide
• Collaborate cross-functionally: Work with audiologists, designers, hardware engineers, and researchers
  
  

Job Summary Description / Primary Purpose Of Job

As a part-time intern on Starkey’s Innovation Team in Tel Aviv, you will help advance hearing technology by developing, testing, and optimizing audio and speech processing algorithms using machine learning and neural networks for devices used worldwide. You will build prototypes, analyze performance, document findings, and present results in a collaborative setting. This role suits creative problem-solvers who want to make an impact through technology.

Job Responsibilities/Results

• Support the development, implementation, and performance analysis of audio and speech signal processing algorithms for hearing devices, with a focus on ML and DNN-based approaches
• Testing and optimization of both traditional and ML algorithms in simulation and with real recordings
• Development of testing procedures and analysis tools for audio and speech signal processing algorithms for hearing devices
• Optimization of real-time algorithm performance under computational, latency, and hardware constraints
• Documentation of experiments, preparation of technical reports, and presentation of results
  
  

Job Requirements Education

• Undergraduate, Master’s and/or PhD student in Electrical Engineering, Biomedical Engineering, or a related field, with an acceptable GPA
• Master's and PhDs preferred
  
  

Experience

• This is an entry level position - any hands on algorithm work is an advantage
  
  

Knowledge / Technical Requirements

• Solid understanding of algorithms and signal processing, from basic to advanced levels
• Experience with programming languages such as Python, MATLAB
• Familiarity with audio and/or speech processing– an advantage
• Experience working with machine learning development environments and/or deep neural networks (ML / DNN) for audio applications – an advantage
  
  

Competencies, Skills & Abilities

• Ability to learn independently and investigate complex problems
• Strong analytical thinking and problem-solving skills
• Attention to detail, technological curiosity, and ability to work effectively in a team
  
  

Employment Terms

• Hourly position
• Flexible and hybrid work schedule, 2-3 days/week
  
  

The above declarations are not intended to be an all-inclusive list of the duties and responsibilities of the job described, nor are they intended to be such a listing of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job.