Machine Learning Engineer - Data Cycling Center - 2024 Start

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.

About the Team
The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

We are looking for talented individuals to join us for this future position in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
What you will do
- Model optimisation: collaborate with data scientists to improve existing machine learning model training and evaluation pipelines, optimize the model training pipeline speed for faster iteration
- Model Deployment: optimize the model inferencing performance through quantization and model conversion, define and leverage appropriate resources for model hosting and inferencing
- Inference Pipeline Productionisation: work with data scientists and data engineers to design and implement the data pipelines for machine learning models that will support the current and future needs of our business
- Service Deployment: build continuous integration, testing, and scalable deployment pipelines in cloud computing environments for machine learning services
- Tracking: build logging, tracking, analyzing, monitoring and reporting pipelines for both data and model tracking in cloud computing environments to ensure correct model output and stable model performance
- Maintenance: build scalable and reliable infrastructure that supports feature engineering, model training, deployment, inferencing, performance monitoring

What you will need
- Ability to understand the business use case to optimise and implement scalable solution
- Knowledge of machine learning concepts and fundamentals; deep learning proficiency in at least one of CV and NLP, with solid experience in model training/inferencing optimization such as quantization and conversion
- Solid programming skills with experience writing and maintaining high-quality production code
- Experience in ML pipeline, model training orchestration; large-scale/distributed training experience is desirable
- Ability to work independently and complete projects from beginning to end and in a timely manner
- Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences- Final year or recent graduate with a background in Computer Science, Software Engineering, Data Science or a related major
- Experience in machine learning frameworks (scikit-learn, Tensorflow, Pytorch), big data frameworks (Spark/Hadoop/Flink) and experience in resource management and task scheduling for large scale distributed systems
- Proficient in Python/SQL and one of C++/Go, with deep knowledge of Linux and CD tools (e.g. git); experience with any Go/Python microservice framework is highly desirable
- Familiar with cloud infrastructure, good understanding of different data storages and message queues for data streaming and pipelining
- Good communication and teamwork skills to clearly communicate technical concepts with other teammates

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at sg.campus.recruitment@tiktok.com.