[Internship] Applied Scientist Intern - Machine Learning & Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Gauss Labs is looking for talented graduate and undergraduate interns for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI solutions to transform manufacturing to the next level. You will conduct research on advanced machine learning algorithms for time-series data by working with the best R&D teams located in Seoul, South Korea, and San Jose, California, USA.

Responsibilities

• Develop and apply Machine Learning algorithms in the areas of advanced monitoring systems, predictive maintenance, yield analysis, etc.
• Research anomaly detection, classification, prediction, and regression algorithms on various time-series data.
• Provide technical contributions in a fast-paced team environment to accelerate our efforts in building ML solutions for semiconductor manufacturing.
• Recommend experiments, suggest new algorithmic development, and make tactical decisions about technical approaches.
• Present compelling stories to team members and stakeholders throughout and at the completion of the internship.

Basic Qualifications

• Currently enrolled in a Master’s or Ph.D. program in Computer Science, Electrical Engineering, Statistics, Data Science, Mathematics, or related fields.
• Demonstrated proficiency in ML algorithms using various packages and libraries including PyTorch, TensorFlow, Karas, etc.
• Proficiency in programming with Python, Matlab, or C/C++ with a background in algorithms and data structures.

- Interns will go to Silicon Valley according to performance evaluation of their work periods in Seoul.

- The work periods in Seoul (Full-time and part-time) are mandatory.

- Interns can work flexibly during the part-time period in Seoul.

[Working Process]

Seoul Full-time (2022.12.26 ~ 2023.02.24)

Seoul Part-time (2023.02.27 ~ 2023.06.23)

Silicon Vally Full-time (2023.06.26 ~ 2023.08.18)