Site Reliability Engineer, Applied Machine Learning

2 weeks ago

Singapore TikTok Full time

Responsibilities
TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

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
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

About The Team
Site Reliability Engineering (SRE) of Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed AI/recommendation system around the world.

On the SRE team, you'll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making.
SRE ensures that the very centric machine learning services at ByteDance have the highest level of availability, as well as creating highly automated systems and pipelines.

**Qualifications**:

- Bachelor’s degree in Computer Science or equivalent
- Proven experience in analyzing and troubleshooting distributed systems.
- Prior experience designing and maintaining large-scale systems.
- Experience programming in at least one of the following languages: Python or C/C++.

Preferred Qualifications
- Ability to thrive in a fast-paced environment.
- Strong understanding of code optimizing and routine tasks automation.
- Proficiency in at least one machine learning framework: TensorFlow, PyTorch, MXNet or PaddlePaddle.
- Solid background of algorithms and data structures.

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.

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