Quantitative Researcher - Machine Learning

Tachyon Talent Solutions; Hong Kong; On-site; HKD 500,000 - 700,000; Full time

Job summary

Tachyon Talent Solutions is seeking talented individuals to apply deep learning and machine learning techniques to model diverse datasets. The successful candidate will uncover patterns, seek inherent logic within data, and continuously refine models to achieve optimal performance.

Responsibilities include implementing DL/ML methods, identifying data patterns, and driving continual model optimisation. Strong academic credentials and hands-on experience with PyTorch or TensorFlow are essential,

Qualifications

• Master's or PhD in Computer Science, Mathematics, Statistics, Physics or other STEM fields.
• Proficiency in statistical machine learning theories and deep learning algorithms.
• Experience with modeling in domains like time series, NLP, imaging or data mining.

Responsibilities

• Implement various deep learning and machine learning techniques for data modelling.
• Identify data patterns and intrinsic logic, ensuring continuous model optimisation.

Skills

Deep learning

Machine learning

NLP

Data mining

Education

Master's or PhD in CS/Math/Stats/Physics or STEM

Tools

PyTorch

TensorFlow

Job description

We are on the lookout for talented individuals who can employ a range of deep learning and machine learning techniques to model diverse datasets. The successful candidate will uncover patterns, seek inherent logic within data, and continuously refine models to achieve optimal performance.

What you'll do:

• Implement various deep learning and machine learning techniques for data modelling.
• Identify data patterns and intrinsic logic, ensuring continuous model optimisation.

What you need:

• Graduates from top-tier universities, both domestic and international, with Master's or Ph.D. degrees in Computer Science, Mathematics, Statistics, Physics, or other STEM fields. Exceptional undergraduate students are also encouraged to apply. The candidate should possess a profound understanding of statistical machine learning theories, unique insights into deep learning algorithms, and have modeling experience in specific domains like time series, natural language processing, imaging, or data mining.
• Outstanding programming skills with proficiency in Pytorch/Tensorflow. Able to swiftly develop and deploy cutting‑edge deep learning models using one of these frameworks. Possesses the innovative capacity to refine and optimize models.
• Prior achievements in various academic competitions are preferred, especially with distinguished performance in renowned machine learning competitions like Kaggle.
• Publications in international top‑tier conferences or journals in the fields of machine learning, data mining, recommendation systems, etc., including but not limited to NIPS, KDD, CVPR, ICML, ACL, AAAI, COLT, AISTATS, WWW, SIGIR, and IJCAI, will be a distinct advantage.