Sr Machine Learning Engineer

Description 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: https://www.youtube.com/watch?vGjhRQ7qzlI0 JOB SUMMARY DESCRIPTION / PRIMARY PURPOSE OF JOB 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. JOB RESPONSIBILITIES/RESULTS Research and develop machine learning and artificial intelligence algorithms to create innovative solutions for wearable devices and related accessories Ideate with colleagues in a proactive way Propose a research project Review the existing literature, competitive products, and patents Propose a set of machine learning and artificial intelligence algorithm candidates Create POCs of the algorithm candidates Evaluate the POCs in the lab and/or the field Select the final algorithm Provide technical leadership in various machine learning and artificial intelligence research and development activities Demonstrate technical expertise in one or more major machine learning algorithms Serve as a tech lead on at least one project Provide technical consultation and guidance to junior engineers Actively monitor, identify, and propose new research and development opportunities Work with management to maintain and enhance the team dynamics Actively collaborate with other development groups to bring the innovative solutions to market in a timely manner Collaborate with other development groups to bring the solution to market fast Work with relevant engineers to create proof of concepts effectively Work with relevant engineers to identify and make sound design tradeoffs Provide technical support to the clinical evaluation and validation efforts Work with relevant engineers to trouble shoot effectively and efficiently Actively participate in and contribute to general machine learning and artificial intelligence infrastructure and knowledge development Actively Participate in and contribute to the relevant professional conferences Actively Participate in and contribute to the Signal Processing and Machine Learning Journal Seminar Actively Participate in and contribute to the competitive analysis efforts including benchmarking Actively Participate in and contribute to the intellectual property related activities, such as patents 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 LI-MP1 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 60-1.35(c)