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Tech Lead, Machine Learning - Smart Test

TikTok
San Jose, CA
Full-time

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

Team Introduction

Our team plays an essential role in TikTok, as we strive to realize our company's vision of building a global platform for creation and communication.

We are seeking a top-notch ML Engineer, who is fluent in machine learning algorithms and programming language semantics, to help us create the world's best development tools.

As a ML Tech Lead in our Developer Infrastructure team, you will lead R&D and push the boundaries of ML for Test Infrastructure, including but not limited to, applying state-of-the-art ML algorithms in smart test code generation, automatic assertion generation, software defect detection, root cause analysis and auto-fixing, for large scale codebases.

Join us today, and we'll empower you to build large-scale machine learning algorithms and systems, raising developer productivity to unprecedented levels with powerful ML technology.

Within our team, you will conduct the following activities :

  • Lead the development of machine learning algorithms and systems
  • Fine-tuning and training machine learning models
  • Iterate and develop the machine learning system using customer-driven scenarios

Qualifications

  • Master and above degree in Computer Science or related disciplines with 3+ years experience; experience as a team tech lead is a plus.
  • Familiar with state-of-the-art machine learning algorithms and mainstream platforms (e.g., Tensorflow, Pytorch, MxNet), or previous experiences in machine learning areas such as NLP and computer vision.

Experience with large language models is a plus.

  • Master at least one or two programming languages in a Linux environment such as Go, C / C++, Python, etc;
  • Master distributed, parallel computing principles; know the recent advances in computing, storage, networking, and hardware technologies;
  • Experience in GPU based high-performance computing is a plus

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 committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us at redacted

30+ days ago
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