Sr Machine Learning Eng I

AboutAt 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 CultureAn experienced team built around a culture of professional growth and knowledge-sharingWe celebrate innovation – finding creative ways to serve our customers better than anyone elseA learning organization built on defining the futureWe are collaborative problem solversGlobal leader in the design, development, and distribution of comprehensive hearing technologiesWe serve with passion, purpose, and excellenceWe strive to provide world-class customer serviceApproach and DeploymentResearch and develop machine learning methods for audio signal processing and create innovative solutions for wearable devices and related accessoriesProvide technical leadership in various machine learning and artificial intelligence research and development activitiesActively collaborate with other development groups to bring the innovative solutions to market in a timely mannerActively participate in and contribute to general machine learning and artificial intelligence infrastructure and knowledge developmentEducationJob RequirementsMasters degree in Electrical Engineering, Computer Science, or related field required.Ph.D. degree in Electrical Engineering, Computer Science, or related field is preferred.ExperienceA 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 RequirementsKnowledge of traditional machine learning techniques such as linear regression, SVM, decision trees, random forests, etc. requiredKnowledge of modern machine learning techniques, such as deep learning requiredKnowledge of ML best practices including data experiment design, data processing, training, and testing requiredKnowledge of digital signal processing is requiredKnowledge of audio signal processing is desirableKnowledge of hearing enhancement highly desirableKnowledge of health and wellness monitoring desirableKnowledge of fixed-point algorithms design desirableRequired Competencies, Skills & AbilitiesProficiency in MatlabProficiency in PythonProficiency in Java or C++Proficiency in TensorFlow, SCIKIT LEARN, TORCH, Keras or SPARKGood verbal and written communication skillsGood interpersonal skillsGood technical leadershipProficiency in numerical reasoning and analysisProficiency in troubleshootingAttention to detailPreferredExperience with cloud MLOps solutions (AWS, GCP, etc)Experience with Audio ML/Signal Processing techniquesExperience with training and deployment of ML models for mobile/embedded systems

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