Tech Lead, Machine Learning Engineer (Multiple Positions)

San Jose, California, United States

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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
Build machine learning (ML) models for TikTok recommendation and improve TikTok feed recommendation infrastructure by implementing ML-based recommendation strategies and rules to satisfy regulations and/or business requirements.
Improve new user recommendation experience on TikTok using ML model/algorithm and build features for ML models.
Build new pipelines for ML model training/iteration.
Collaborate with mobile client team to onboard new signals to backend for recommendation optimization.
Improve ranking/searching efficiency for TikTok Creator Marketplace and recommend creator to advertiser for collaboration.
Partner with product managers and product strategy and operation team to define product strategy and features.
Collaborate with strategy team, product managers, policy team and other key stakeholders to define products and drive initiatives from engineering viewpoint.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Engineering Machine Learning ML models Model training Pipelines

Region: North America
Country: United States

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