Starkey Hearing Technologies
Sr Machine Learning Engineer
Starkey Hearing Technologies, Eden Prairie, Minnesota, United States, 55344
At Starkey, we are in the business of connecting people and changing lives. As a world leader in the manufacturing and delivery of advanced hearing solutions, we go to work each day to ensure every person on the planet has the opportunity to hear their very best. Founded in 1967, Starkey is known for its innovative design, development, and distribution of comprehensive digital hearing systems. Headquartered in Eden Prairie, Minnesota, Starkey has more than 5,000 employees globally, operates 29+ facilities and does business in more than 100 markets worldwide.
The person in this role will be responsible for the development of new audio processing algorithms and machine learning research initiatives. In addition to individual project work, this person will work with other project leads to plan and execute collaborations between the Algorithms Group and other groups within Starkey. We employ cutting edge signal processing and machine learning techniques and are looking for a senior level candidate to lead the way in machine learning.
Our Culture
An experienced team built around a culture of professional growth and knowledge-sharing.We celebrate innovation - finding creative ways to serve our customers better than anyone else.A learning organization built on defining the future.We are collaborative problem solvers.Global leader in the design, development, and distribution of comprehensive hearing technologies.We serve with passion, purpose, and excellence.We strive to provide world-class customer service.
Approach and Deployment
Research and develop machine learning methods for audio signal processing and create innovative solutions for wearable devices and related accessories.Provide technical leadership in various machine learning and artificial intelligence research and development activities.Actively collaborate with other development groups to bring the innovative solutions to market in a timely manner.Actively participate in and contribute to general machine learning and artificial intelligence infrastructure and knowledge development.
Job Requirements
Education:
Masters degree in Electrical Engineering, Computer Science, or related field required.Ph.D. degree in Electrical Engineering, Computer Science, or related field is preferred.
Experience:
A minimum of 4 years of applicable experience is required for candidates with a Masters degree. A minimum of 2 years of applicable experience is required for candidates with a Ph.D. degree.As part of the required experience, the candidate shall demonstrate his/her scholarly research track records in the form of publications and presentations.
Knowledge / Technical Requirements
Knowledge of traditional machine learning techniques such as linear regression, SVM, decision trees, random forests, etc. required.Knowledge of modern machine learning techniques, such as deep learning required.Knowledge of ML best practices including data experiment design, data processing, training, and testing required.Knowledge of digital signal processing is required.Knowledge of audio signal processing is desirable.Knowledge of hearing enhancement highly desirable.Knowledge of health and wellness monitoring desirable.Knowledge of fixed-point algorithms design desirable.
Competencies, Skills & Abilities
Required:
Proficiency in Matlab.Proficiency in Python.Proficiency in Java or C++.Proficiency in TensorFlow, SCIKIT LEARN, TORCH, Keras or SPARK.Good verbal and written communication skills.Good interpersonal skills.Good technical leadership.Proficiency in numerical reasoning and analysis.Proficiency in troubleshooting.Attention to detail.
Preferred:
Experience with cloud MLOps solutions (AWS, GCP, etc).Experience with Audio ML/Signal Processing techniques.Experience with training and deployment of ML models for mobile/embedded systems.
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The person in this role will be responsible for the development of new audio processing algorithms and machine learning research initiatives. In addition to individual project work, this person will work with other project leads to plan and execute collaborations between the Algorithms Group and other groups within Starkey. We employ cutting edge signal processing and machine learning techniques and are looking for a senior level candidate to lead the way in machine learning.
Our Culture
An experienced team built around a culture of professional growth and knowledge-sharing.We celebrate innovation - finding creative ways to serve our customers better than anyone else.A learning organization built on defining the future.We are collaborative problem solvers.Global leader in the design, development, and distribution of comprehensive hearing technologies.We serve with passion, purpose, and excellence.We strive to provide world-class customer service.
Approach and Deployment
Research and develop machine learning methods for audio signal processing and create innovative solutions for wearable devices and related accessories.Provide technical leadership in various machine learning and artificial intelligence research and development activities.Actively collaborate with other development groups to bring the innovative solutions to market in a timely manner.Actively participate in and contribute to general machine learning and artificial intelligence infrastructure and knowledge development.
Job Requirements
Education:
Masters degree in Electrical Engineering, Computer Science, or related field required.Ph.D. degree in Electrical Engineering, Computer Science, or related field is preferred.
Experience:
A minimum of 4 years of applicable experience is required for candidates with a Masters degree. A minimum of 2 years of applicable experience is required for candidates with a Ph.D. degree.As part of the required experience, the candidate shall demonstrate his/her scholarly research track records in the form of publications and presentations.
Knowledge / Technical Requirements
Knowledge of traditional machine learning techniques such as linear regression, SVM, decision trees, random forests, etc. required.Knowledge of modern machine learning techniques, such as deep learning required.Knowledge of ML best practices including data experiment design, data processing, training, and testing required.Knowledge of digital signal processing is required.Knowledge of audio signal processing is desirable.Knowledge of hearing enhancement highly desirable.Knowledge of health and wellness monitoring desirable.Knowledge of fixed-point algorithms design desirable.
Competencies, Skills & Abilities
Required:
Proficiency in Matlab.Proficiency in Python.Proficiency in Java or C++.Proficiency in TensorFlow, SCIKIT LEARN, TORCH, Keras or SPARK.Good verbal and written communication skills.Good interpersonal skills.Good technical leadership.Proficiency in numerical reasoning and analysis.Proficiency in troubleshooting.Attention to detail.
Preferred:
Experience with cloud MLOps solutions (AWS, GCP, etc).Experience with Audio ML/Signal Processing techniques.Experience with training and deployment of ML models for mobile/embedded systems.
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