Algorithms Intern

This position will contribute to the machine learning and signal processing research efforts currently underway within Starkey's Algorithms and Data Technology research group. We are specifically looking for interns with knowledge of audio signal processing and deep neural networks.

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 are headquartered in Eden Prairie, Minnesota, 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

Starkey is much more than the hearing aids we produce. We are in the business of connecting people and changing lives. We believe being able to hear the world and the people around us is as essential to the human experience as breathing. As a world leader and largest American hearing aid company, we design and deliver advanced hearing solutions that empower individuals to reach their full potential.

This position will contribute to the machine learning and signal processing research efforts currently underway within Starkey's Algorithms and Data Technology research group. We are specifically looking for interns with knowledge of audio signal processing and deep neural networks.

Gain valuable industry experience by participating in Starkey's Signal Processing Research internship program

• Get up to speed on the Algorithms Research group's role within the organization
• Familiarize self with group members, working environment, processes, and equipment
• Meet every two weeks with the Manager of Algorithms to track progress and provide updates
• Follow guidance and direction from Sr Engineers
• Work independently or as a team member as necessary

Increase knowledge of signal processing technologies by assisting in the research of new algorithms to be used in Starkey's future hearing aid products.

• Write high-level simulations for proof of concept and exploration of algorithm behavior
• Design and implement effective methods for evaluation of algorithms
• Develop and train machine learning models for signal processing applications
• Explore computational efficiencies for algorithms
• Verify the performance of real time algorithms
• Follow proper documentation procedures
• Produce scientific publications from research, if necessary

• Quality and timeliness of research reports
• Thoroughness of algorithm evaluations
• Data analysis and presentation of conclusions
• Feedback from Sr Engineers and peers

• Support Starkey Employee Corporate and/or Department Guidelines.
• Check and verify quality.
• Support corporate health and safety objectives.
• React to change productively and handle other essential duties as assigned.

Education

• Master's degree or higher in Electrical Engineer or related field

Experience

• 0-2 years of signal processing research experience required
• Research experience with hearing aids or cochlear implants preferred
• Experience in audio signal processing, psychoacoustics, or acoustics is preferred
• Experience in machine learning methods and deep learning preferred

Knowledge / Technical Requirements

• Knowledge of audio signal processing theory required
• Familiarity with speech analysis, array processing, and audio classification algorithms desired
• knowledge of modern machine learning techniques including deep neural networks is desired

Skills & Abilities

• Proficiency in Matlab or Python is required
• Good verbal and written communication skills is required

Salary and Other Compensation:

The target pay rate for this position is $39.00 per hour. Factors which may affect starting pay within this range may include: geography/market, skills, education, experience and other qualifications of the successful candidate.

#LI-MP1