Lecle Vietnam

Overview of job

You will join our team and participate in developing our world-recognized core diagnostic technology which provides an efficient learning path through quick and accurate diagnosis for students.

We research and develop AI models used in B2B and B2C products.

• Time Series Data Modeling
• Recommendation System
• Tabular Data Modeling
• Data Debiasing

This position does not stop at research but also participates in planning the product environment and designing data collection methods in which the developed model can work best, making continuous and direct contributions to the product.

Why you'll love working here

At Lecle, we strive to make a pleasant working environment for you. Here are some perks of our company:

• Working time: 8:00 AM - 5:00 PM, Monday - Friday (Flexitime from 8:00 AM - 9:30 AM)
• MacBook Pro provided or BYOD allowance
• 13th-month salary + KPI bonus at the end of the year
• 15 days of annual leave per year; 1 extra day of loyalty leave every 3 working years
• Performance review twice a year
• Premium Healthcare Insurance on 1-year work anniversary
• Free parking
• Events & Activities: Company trip once a year, company parties & other teambuilding activities
• Other benefits such as holidays and insurance benefits will follow Vietnam laws
• Free coffee, snacks, and drinks

We are looking for someone who are:

• Those with basic Python and open source frameworks (PyTorch, TensorFlow, etc.)-based development capabilities 
• A person who can quickly understand, explain, and implement machine-learning papers
• Those with a high understanding of linear algebra and statistics
• Proficient in programming and version control for rapid research prototyping 
• A person who can present modeling suitable for solving current problems rather than chasing the latest fancy technology.
• A person who effectively documents the research process and results and has clear communication skills

And even better if you are:

• Those with a master's degree in a related field or equivalent industry experience
• Anyone with experience participating in Recommendation System-related projects
• Those with papers from top-tier ML conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, EMNLP, NAACL, KDD, SIGIR, CIKM, RecSys, etc.)
• Those who have won awards from AI-related challenges (Kaggle, Hackathon, etc.)
• A person with extensive knowledge and experience in Causal Inference 
• Those who can communicate smoothly in English