Thales - San Jose, CA
posted 2 months ago
Thales is seeking a Machine Learning Data Science Engineer to join our team in San Jose, California. This hybrid role requires a minimum of three days in the office and involves contributing to the design and development of new features in our machine learning and data science initiatives. The successful candidate will work on projects related to natural language processing (NLP), anomaly detection, data discovery, and classification, specifically for cloud security applications. The role is pivotal in enhancing existing products and developing new ones that meet customer requirements while adhering to the latest technological advancements and quality standards. In this position, you will be responsible for designing and training machine learning models that facilitate data discovery, classification, and correlation. You will also implement prediction interfaces for pre-trained models across various platforms and develop trainable models along with their training workflows. Your expertise in data mining will be crucial as you employ state-of-the-art methods to enhance data collection procedures, ensuring that the data used for analysis is relevant and of high integrity. Collaboration with the system test team will be essential to define test plans and troubleshoot software defects, ensuring that our products meet the highest standards of quality. Additionally, you will conduct research on relevant standards and technologies, such as data classification and governance, to design products that integrate seamlessly into emerging ecosystems. This role requires a proactive approach to problem-solving and a strong commitment to continuous learning and improvement in the field of machine learning and data science.