come you to join us and help shape the next-generation recommendation platform for millions of users.

Job Description

As an Algorithm Engineer, you will:

Algorithm Development: Contribute to the design and development of innovative recommendation algorithms to improve user experience and conversion rates.
Model Optimization: Assist in optimizing models to enhance efficiency, accuracy, and scalability.
Data Analysis: Analyze user behavior data to uncover patterns and improve recommendation performance.
Business Alignment: Translate business goals into algorithmic solutions that deliver measurable impact.
Learning & Innovation: Stay updated on the latest research and trends in recommender systems, and apply new methods where appropriate.

Requirements

Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Strong programming skills, with proficiency in Python or C++ preferred.
Solid understanding of data structures, algorithms, and basic machine learning principles.
Familiarity with at least one deep learning framework (e.g., TensorFlow, PyTorch, MXNet) is a plus.
Passion for recommender systems, data-driven problem solving, and continuous learning.
Strong communication and teamwork skills; able to collaborate in a fast-paced environment.

18:T562,

Commitment Period: Jan 2027 (Full-time Internship, min. 6 months)

Description

Be responsible to research and develop innovative computer vision/deep learning algorithms for image applications.

Responsibilities

Research, develop and optimize computer vision/deep learning algorithms for image applications, such as, object recognition, face recognition, video analytics, image quality enhancement, and 3D reconstruction.
Explore, design and im

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