(Intern/Contractor) Machine Learning & Deep Learning Engineer

Key Skills

Deep Learning, Design, GANs, Machine learning techniques, Natural Language Processing (NLP)

Job Description

• We are in a fast-paced and agile working environment, focusing on long-term goals, solving real problems, implementing AI in the real world, and publishing papers in top conferences and journals. Welcome to join us.
• This position will assist the implementation of departmental AI projects Related experiments and analysis, including but not limited to experiment planning, model development.
• This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/ processes.
• This job opening encompasses a wide range of end-to-end ML pipeline activities, including framing AI problems, data collection/preprocess/exploration, model development/evaluation, model deployment/monitor.
• Our major responsibilities include (1) landing AI in real world (2) publication at top conference/journal (DAC, IEEE/TCAD, ICLR, ICML…).
• Here, you will be working in a fast-paced and agile environment which needs a mindset of a startup.
• Together with worldwide colleagues you will deliver everything from state-of-the-art algorithms to quicker value proving solutions.
• This position will assist the department's AI project to perform related experiments and analysis, including but not limited to experiment planning, mod el development.

Requirements

• This position requires people who like to study AI-related technologies and research papers, and have enthusiasm for understanding the IC design industry and EDA tools.
• This position requires people who have participated in some AI projects, such as problem definition, value statement, experiment planning, model development Etc.
• This position needs to be familiar with at least one specific AI field or optimization problem or statistics, AI field such as CV, NLP, RL, GAN, GNN, etc.
• This position needs to work more than 2 days a week.