Software Engineer Graduate (AML-Engine-Forge Platform) - 2027 Start

You will be joining our Applied Machine Learning team, a central team responsible for delivering state-of-the-art solutions powering our company's recommendations, ads, and search systems across various products. We own the end-to-end ML lifecycle, from ideation and research to building, deploying, and iterating on models in production. We are looking for candidates who are passionate about solving complex problems and have a strong foundation in machine learning theory and practice. We are looking for a talented and motivated Research Scientist / Algorithm Engineer to join our team, where you will explore the deep integration of recommendation algorithms and large language models (LLMs) / multimodal understanding.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. 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 our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities:

• Responsible for the development and optimization of the AML Machine Learning Platform, building an industry-leading ML platform focused on AI developer experience.
• Understand the business needs of algorithm engineers, design solutions across the full model lifecycle - including development, debugging, training, evaluation, and inference - and continuously improve the iteration efficiency of algorithm engineers.Minimum Qualifications:
• Individuals who are completing or have recently completed a Bachelor's degree in Computer Science or a related discipline.
• Familiar with the Linux development environment; strong fundamentals in systems programming, data structures, algorithms, and system design.
• Eager to take on challenges and think deeply;
• Prior experience in machine learning algorithms or large-scale distributed systems is a plus.