Machine Learning Engineer
TikTok
Machine Learning Engineer
TikTok
Short-form video platform with ads
Team Introduction: The Live Streaming Recommendation Core Technology Team is primarily responsible for foundational models and distribution pipelines in live streaming recommendations, including model iteration for modules such as precision ranking, first stage ranking, and recall. The team's key focus is optimizing algorithmic efficiency by addressing business challenges unique to live streaming content, deeply understanding user needs, and building industry-leading recommendation models. Additionally, the team serves as a centralized platform to support iterative improvements across various verticals within live streaming, accelerating business growth. 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 ML algorithms to optimize content consumption and production experience; 4. Understand content security strategy and apply ML algorithms to improve content audit process; 5. Work with cross functional teams to grow ByteDance product in important regional markets.
Minimum Qualifications 1. Bachelor's degree in computer science or a related technical discipline, with at least 2 years of related work experience; 2. Solid experience with data structures or algorithms; 3. Software development experience through hands on coding in a general purpose programming language; 4. Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas; 5. Strong communication and teamwork skills; 6. Passion about technologies and solving challenging problems. Preferred Qualification Minimum 3 years relevant work experience from a large-scale internet business
About TikTok
TikTok 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 Us
Inspiring 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 & Inclusion
TikTok 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.
TikTok is a short-form mobile video platform that lets people create, discover, and share quick videos. Users upload vertical clips, edit them with built-in tools, and browse a personalized feed powered by an algorithm that highlights relevant content. Advertisers can use in-feed ads, branded hashtags, and the Business Center to plan and measure campaigns, making it easy for brands to reach a global audience. Its goal is to inspire creativity and bring joy by helping people express themselves and by connecting brands with a wide audience.
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