Santa Clara, US-United States
Posted 1 month ago
| About The Company This company is a global leader in advanced semiconductor manufacturing, specializing in producing cutting-edge chips used across a wide range of industries, from consumer electronics to automotive and telecommunications. Known for its pioneering technology, the company is at the forefront of producing high-performance processors, with its advanced fabrication processes enabling the creation of smaller, faster, and more efficient chips. With a customer base that includes some of the biggest names in tech, it plays a critical role in powering innovations such as artificial intelligence, 5G, and next-generation computing. Responsibilities – Create and manage advanced machine learning, deep learning, and LLM algorithms to develop data-driven solutions for complex business problems – Analyze and interpret complicated data sets to provide actionable insights that aid in enhancing decision-making processes for business stakeholders – Work with cross-functional and international teams to identify and prioritize data-driven opportunities, including the development and deployment of predictive models to drive business outcomes – Work with teams with senior data scientists, other junior data scientists, and data engineers to develop and uphold efficient procedures for gathering, retaining, and scrutinizing data – Work in teams with data engineers – Consistently assess and refine model performance to ensure precision and dependability – Communicate insights and recommendations via internal reports to technical and non-technical stakeholders – Design and implement the latest AI, machine learning and data science tools and techniques to enhance existing processes based on feedback and guidance from senior data scientists Minimum Qualifications – Ph.D. in computer science, information systems, information science, statistics, or related AI or machine learning field in the past 1-2 years – 4-5 years of AI/ML experience (including those attained during Ph.D. studies) – Proficient in Python, GitHub, and Markdown for data wrangling, pre-processing, and extraction from structured and unstructured data sources – Strong conceptual and practical knowledge and experience of classical machine learning algorithms and learning paradigms, including supervised learning and unsupervised learning – Strong skills in fundamental deep learning implementation, including data encodings, processing units, and learning paradigms – Proficiency in adapting machine learning or deep learning algorithms based on unique dataset characteristics and business requirements – Strong practical network science skills and experience – Hands-on experience with text analytics for named entity recognition, sentiment analysis, and topic modelling. – Hands-on experience with time series modeling and forecasting with statistical and/or deep learning-based approaches – Experience fine-tuning LLM-based approaches with strategies such as low rank adaptation, few shot learning, and others. – Experience with prompt engineering on LLMs with techniques such as reinforcement learning, prompt tuning, and others – Knowledge about deploying models into user interfaces using technologies such as Streamlit, Dash, Tableau, or PowerBI – Must be willing to travel to Taiwan for at least 3 months each year for training, team building, and project coordination |
Job Features
| Job Category | Data Science |
| Seniority | Junior / Mid IC |
| Base Salary | $150,000 - $230,000 |
| Recruiter | mingjia.zhu@ocbridge.ai |
