Head of Machine Learning & Data Science
Palo Alto, CA / Yeoksam, Seoul
Gauss Labs
Gauss Labs aims to revolutionize manufacturing by building industrial AI solutions beyond human capabilities.Responsibilities
- Conduct and coordinate research leading to large-scale ML projects for industrial AI.
- Lead applied scientists to develop experiments, algorithms, and prototypes that advance the state-of-the-art in industrial AI.
- Provide technical and scientific guidance to the team members and support their career development.
- Develop cutting-edge ML algorithms such as online regression, classification, supervised/unsupervised learning, anomaly detection, and hybrid ML algorithms.
- Lead projects with complete independence and help from PMs even when business, product, and technical strategies are not defined and the problems to be solved are not known.
- Work with PMs to define use cases, collect data, and benchmark the results.
- Work with software engineering teams to develop industrial AI platforms and applications.
- Contribute to Gauss Labs's intellectual property pools by publishing patents and technical papers.
- Communicate effectively with senior management as well as with colleagues from science, engineering, and business backgrounds.
Key Qualifications
- Master's degree in applied research for machine learning and data science, or a highly relevant field.
- Deep and broad expertise across several applied science disciplines, being scientifically versatile and demonstrating scientific and industrial maturity.
- 10+ years of experience in applying AI/ML to solve complex business problems for large-scale applications.
- 5+ years of experience managing machine learning and data scientists and engineers.
- Hands-on experience programming in Python, Matlab, R, Java, C++, or other programming languages.
Preferred Qualifications
- Ph.D. specializing in AI, machine learning, data science, statistics, or related fields.
- Research experience in machine learning and data science handling time-series data, predictive modeling, and anomaly detection.
- Proven achievements in developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated into production systems.
- Project management experience working with cross-functional teams in multiple geographic locations.
- Ability to translate informal customer requirements into technical problem definitions, dealing with ambiguity and competing objectives.
- Excellent written and verbal communication skills with the ability to present complex technical information clearly and concisely to various audiences.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Computer Science Engineering ICLR ICML Industrial Java Machine Learning Matlab NeurIPS Predictive modeling Python R R&D Research Statistics Unsupervised Learning
Perks/benefits: Career development
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