Machine Learning Engineer

Overview:Applied scientists are specialists with deep expertise in areas such as machine learning, speech recognition, natural language processing, computer vision, knowledge acquisition, etc. They apply scientific principles in their area of expertise and related fields to: (a) assess the feasibility and timeline of new initiatives requiring significant inventions, and (b) develop new algorithms or enhance existing algorithms for significantly improving the customer experience/impact. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing the state-of-the-art for improving products and services.Key job responsibilities:Develop AI solutions for Music Personalization;Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;Effectively communicate technical and non-technical ideas with teammates and stakeholders;Stay up-to-date with advancements and the latest modeling techniques in the fieldYears of experience: Minimum of 10 years, preferred 15 years. Portfolios not required, but will be welcomed.BASIC QUALIFICATIONSPhD, or Master's degree and 6+ years of applied research experience5+ years of building machine learning models for business application experienceExperience programming in , C++, or related language-Experience with cloud based large scale model deployment

Created: 2025-03-06