Machine Learning Engineer
14 hours ago
About TikTokTikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.Why Join UsInspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.Diversity & InclusionTikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.ResponsibilitiesTikTok-Data Video Recommendation Team is responsible for the personalized recommendation algorithms for TikTok's hundreds of millions of global users. Here, you will collaborate with top algorithm engineers in the industry, leveraging your expertise in deep learning, recommendation algorithms, and large models to continuously transform and enhance the TikTok user experience and content ecosystem. Responsibility 1. Build industry leading recommendation system, develop highly scalable classifiers and tools leveraging machine learning 2. Understand product objectives and machine learning techniques, improve model and recommendation strategy 3. Understand user behavior and apply Machine Learning algorithms to optimize push notification and production experience 4. Work with TikTok cross functional teams to grow TikTok in important regional marketsQualificationsMinimum Qualifications: -Bachelor's degree (or more) in computer science or a related technical discipline -Solid experience with data structures or algorithms -Software development experience through hands on coding in a general purpose programming language -Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas -Strong communication and teamwork skills -Passion about technologies and solving challenging problems Preferred Qualification Minimum 3 years relevant work experience from a large-scale internet business
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Machine Learning Engineer
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Machine Learning Engineer
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