Senior Machine Learning Engineer (Multiple Positions)

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.

About the Team

Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities

Innovate on machine learning (ML) algorithms that power recommendation systems, ensuring continuous optimization of TikTok's content ecosystem. Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to understand requirements and integrate ML solutions into TikTok's platform. Research and develop ML models and algorithms to enhance TikTok's content recommendation systems. Analyze user behavior data to identify patterns and trends that can improve TikTok's content recommendation accuracy. Continuously optimize and fine-tune algorithms based on user feedback and performance metrics. Conduct experiments and A/B testing to evaluate the effectiveness of different TikTok's content recommendation strategies. Stay up to date with the latest advancements in ML and recommend innovative approaches to improve TikTok's content recommendation systems. Ensure the scalability, reliability, and efficiency of the ML infrastructure supporting TikTok's content recommendation functionalities. Collaborate with data engineers to design and maintain data pipelines for processing large-scale datasets. Mentor junior level engineers and interns.