OPPO Research Center is seeking Machine Learning Engineers to enhance their recommender systems, search algorithms, and ad targeting algorithms. The role involves leading initiatives to improve machine learning algorithms to address business challenges. Engineers will collaborate with cross-functional teams to optimize data pipelines, model deployment, and monitoring systems. There is an emphasis on continuous improvement and innovation in machine learning technologies.
Required Qualifications and Skills
The position requires an advanced degree, specifically a Masters or Ph.D., in Computer Science, Machine Learning, Statistics, or a closely related field. Candidates should possess at least three years of experience in solving complex business problems with a proven track record. Proficiency in Python programming and familiarization with machine learning libraries are necessary. Strong communication skills and a capacity to work in team-oriented settings are also essential.
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Founded in 2004, OPPO is one of the world's leading innovators of smart devices. With operations in over 60 countries and regions, OPPO's more than 290,000 points of sales and 1,900 official service centers share the beauty of technology with users all over the world. To forward our vision of a better future, OPPO has established ten smart manufacturing facilities around the world, as well as a global design center in London. Every day, our 40,000 employees put their heart and soul into exploring the possibilities of humanistic technology. OPPO is not just a device maker. We are a technology company that combines hardware with software and services. Our software range, built around the ColorOS operating system, makes devices more user-friendly and intelligent for our 500 million users worldwide. The OPPO App Market, OPPO Cloud also deliver smarter, more convenient, and better-connected services. Moving forward, OPPO will remain committed to our mission of "Technology for Mankind, Kindness for the World." We will continue to pursue innovation in the smart themes of learning, productivity, entertainment, and healthcare to meet the needs of people around the world. Constantly seeking technological breakthroughs. Lets look forward to a brighter future and inspiration ahead.
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