STACK TECH CO., LTD

We are looking for an outstanding Algorithm Engineer to join our team. The candidate is expected to have at least 3 years of experience in large companies and in-depth research and practical experience in similarity algorithms and recommendation algorithms.
Responsibilities
Responsible for the algorithm design and optimization of the company's core recommendation system;
Develop and improve similarity algorithms to enhance the accuracy and efficiency of the recommendation system;
Analyze user behavior data, build user profiles, and optimize recommendation effects;
Work closely with product and engineering teams to promote the application of algorithms in actual products;
Continuously track cutting-edge algorithm research results and apply them to practical projectsMust have:
Master's degree or higher in Computer Science, Mathematics, Statistics, or related fields;
At least 3 years of algorithm development experience in large companies;
In-depth understanding and practical project experience in similarity algorithms and recommendation algorithms;
Proficiency in programming languages such as Python, Java, C++;
Familiar with commonly used machine learning algorithms and tools, such as TensorFlow, PyTorch, scikit-learn, etc.;
Excellent analytical and problem-solving skills, able to quickly identify and resolve technical issues;
Good teamwork spirit and communication skills.
Preferred Qualifications:
Published high-quality algorithm research papers;
Participated in the design and optimization of large-scale recommendation systems;
Strong data processing capabilities, familiar with big data technologies such as Hadoop, Spark, etc.
We look forward to your joining us to promote technological innovation and development together. If you meet the above requirements and have a passion for algorithm engineering, please send your resume to us.Flexible working time (Mon - Fri).
Attractive salary and bonus based on your capabilities and experience.
A chance to practice English communication with our expat colleagues.
MacBook pro M2 provided on the first day and a 27in Dell monitor + gears for everyone.
Young & friendly colleagues.
In-house gym.