Applied Scientist, Prime Video Sports

מיקום המשרה: תל אביב יפו  תחומי המשרה: תוכנה, מדעים מדוייקים, מהנדס תוכנה, מפתח אלגוריתמים, הנדסה, מהנדס תוכנה, מהנדס אלגוריתמים, פיתוח אלגוריתמים  סוג/היקף המשרה: משרה מלאה  We are looking for an Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions that impact millions of customers. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We\'re looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.Job ID: 2161715.Requirements: PhD or Master plus experience in Computer Science, Machine Learning or related field. Excellent coding and design skills, proficiency with programming languages such as C/C++, Java, or Python. Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.PREFERRED QUALIFICATIONS Experience in building production grade deep learning models for computer vision, recommendation systems, or related fields. Experience with defining research and development practices in an applied environment Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.) Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field. Track record in creating novel algorithms and advancing the state of the art. Technical writing, verbal communication, and cross discipline collaboration skills. Background in classical CV algorithms is a plus. המשרה מיועדת לנשים ולגברים כאחד.

תאריך כניסה: 2022-07-21 03:14:44
תאריך פרסום: 2022-07-21 05:59:00
סוג משרה:
קטגוריה: social
מזהה משרה:
מקור: AllJobs
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