Senior Machine Learning Scientist

The ASUS Robotics & AI Center is seeking an experienced and talented Senior Machine Learning Scientist to join our global research and development team. This role is critical to driving the development, fine-tuning, and deployment of advanced machine learning solutions, including foundation models, that power the next generation of AI and robotics technologies.

We are looking for a proactive leader with deep expertise in machine learning, a proven ability to lead teams and workflows, and a passion for tackling complex challenges. The ideal candidate will bring enthusiasm for innovation, a strong foundation in AI technologies, and a commitment to delivering scalable and reliable solutions within a collaborative, multidisciplinary environment.

• Supervise, lead, and mentor teams of machine learning scientists and engineers.
• Lead the productization of machine learning workflows, ensuring scalability, reliability, and efficiency in production environments.
• Ensure that training and evaluation address realistic usage scenarios and that the trained models are fit for purpose.
• Research, fine-tune, and deploy large-scale foundation models for diverse real-world applications.
• Design automated ML pipelines for training, evaluation, and deployment, incorporating MLOps best practices.
• Coordinate the design and implementation of data collection strategies and compute infrastructure for fast experimentation.
• Work with data infrastructure engineers to build top-notch data infrastructure and tools.
• Continuously improve fast experimentation, iterations, and exploratory data analysis to reduce time to market.
• Write clean, maintainable, and well-commented source code, adhering to modern software development practices.
• Work in a cross-functional team that takes ownership of the full software lifecycle.
• Independently read relevant literature and share your insights and knowledge with other stakeholders.
• Collaborate with other teams to make optimal software architecture design decisions.

• Master’s degree or PhD in computer science.
• 5 years of industry work experience.
• Exceptional academic track record with expertise in data science, statistics, machine learning, and/or artificial intelligence.
• Expertise in deep learning frameworks such as TensorFlow and/or PyTorch. Hands-on experience with training deep learning models such as CNN, RNN, graph NN, and/or foundation models. Familiarity with traditional machine learning models.
• Familiarity with computer vision, NLP, and/or multimodal models.
• Exceptionally strong understanding of fundamentals and problem-solving skills.
• Strong verbal and written communication skills.
• Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.
• Programming skills in C , Python, JavaScript, and/or Go.
• Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week and occasionally travel to Taipei for team collaboration and project needs.
• Willingness to work in an office at least three days per week.