This role is a passive application to a Talent Pool, and does not require specific qualifications or experience beyond being a candidate for future opportunities with Gauss Labs.
Applicants should possess strong communication skills and be able to effectively represent Gauss Labs. Candidates should demonstrate a proactive approach to learning and a willingness to contribute to a dynamic team environment.
Candidates must hold a Bachelor's degree in engineering, computer science, physics, chemistry, statistics, mathematics, operations research, or a related field. They should possess proven experience in planning and managing AI/ML projects, including project scoping, resource allocation, and risk mitigation. Strong understanding of AI/ML algorithms, methodologies, and their applications in manufacturing is required, along with experience in semiconductor equipment, processes, or yield management.…
Candidates should possess a Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field, along with 3+ years of hands-on experience in deep learning, particularly with sequence modeling and time-series forecasting. Strong proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX is required, alongside a solid mathematical foundation in statistics, optimization, and signal processing. Familiarity with hybrid modeling approaches and exp…