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
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open DevOps-related jobs