AI Ops Site Reliability Engineer – Data Infrastructure 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.

Join our innovative Site Reliability Engineering (SRE) team that merges software development with infrastructure operations to manage large-scale, highly distributed systems. We leverage cutting-edge AI technology, such as Large Language Models (LLM), for efficiency and actively shaping the future of AI Ops technology.

Key Responsibilities:
– Develop and implement AI-based software for efficient and intelligent management of service-oriented architecture (SOA), driving research on ML algorithms, and leveraging AI technology to solve complex site reliability issues.
– Explore practical applications of LLM technology in the field of AI Ops, providing algorithmic services such as intelligent interaction, root cause analysis, and anomaly detection.
– Construct an LLM applications framework, integrate it into a unified SRE software platform, and provide intelligent services to enhance operational efficiency.
– Continuously keep up with cutting-edge LLM technologies, open-source solutions, and their applications in the field of AI Ops.

Qualifications

– Bachelor’s degree in Computer Science or equivalent, with 5+ years of experience as an ML Engineer or ML Applied Scientist.
– Experience with AI Ops, particularly with the stability of cloud platforms. This includes, but is not limited to, anomaly detection, log monitoring, fault diagnosis, and root cause analysis.
– Proficiency in the algorithmic principles of mainstream large language models (such as GPT, ChatGPT, LLaMA), fine-tuning strategies, prompt engineering, vector databases, and application paradigms like LangChain.
– Strong problem-solving and communication skills, excellent data sensitivity, and business understanding, capable of deriving valuable insights from complex business data.

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 dataecommerce.accommodations@tiktok.com