Sr Machine Learning Engineer - St Paul, United States - Starkey Laboratories Inc

Description

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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.

Here's a video about the people behind Starkey's groundbreaking innovation:

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
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
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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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

41 CFR c)

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