ML Quantitative Resercher
The ML Quantitative Researcher takes a more blackbox approach to problem-solving and endeavors to identify subproblems that are best suited for resolution using classical or deep machine learning methods.
Our fundamental principle is collaborative work. We maintain a highly flexible structure with no rigid divisions.
Our fundamental principle is collaborative work. We maintain a highly flexible structure with no rigid divisions.
- Student/graduate in mathematics, physics, or computer science
- Knowledge/experience in ML/DL
- Proficiency in probability theory, statistics, and algorithms
- Strong knowledge of Python and various Python libraries for data manipulation
- Ability to work with SQL
REQUIREMENTS
NICE TO HAVE
- Previous experience in IT or related fields (relevant experience would be a significant advantage)
- Achievements in mathematics/informatics/physics Olympiads
- Achievements on platforms like Codeforces/Kaggle (especially a plus)
- Proficiency in C++
In your application message, please write the role you are applying for, attach your CV, and link to your LinkedIn account
(if you have one)
In the quantum team, we tackle a wide range of interesting and complex tasks to enhance the effectiveness of current strategies and develop fundamentally new ones.
To solve these tasks, we leverage the strong expertise of our team in various fields, including probability theory and statistics, econometrics, algorithms, classical and deep machine learning.
To solve these tasks, we leverage the strong expertise of our team in various fields, including probability theory and statistics, econometrics, algorithms, classical and deep machine learning.
