Lead Data Scientist, Machine Learning & Data Infrastructure

Join Salesforce's Security Data Science team as a Lead Data Scientist, where you'll spearhead the development and deployment of advanced security solutions. This role combines deep technical expertise in data science and engineering with technical leadership responsibilities. You'll be working on sophisticated analytics and threat detection methodologies, with a focus on real-time capabilities for protecting platform customer security.

As a senior Individual Contributor, you'll leverage big data and machine learning technologies to create innovative security solutions while providing technical mentorship to your team. You'll be responsible for developing and deploying real-time security defense products, enhancing machine learning infrastructure, and ensuring operational reliability of systems.

The role involves working with cutting-edge technologies including Apache Spark, Flink, and Kafka, while collaborating with Machine Learning Infrastructure and AI Platform teams. You'll be applying advanced data science methodologies to practical security challenges, working on anomaly detection, threat analysis, and implementing large-scale PaaS/IaaS systems.

This position offers the opportunity to work with both traditional ML techniques and emerging technologies like NLP and Generative AI, including experience with LLM fine-tuning. You'll be based in either San Francisco or Seattle, working with a team of skilled professionals in a fast-paced, innovative environment.

The ideal candidate will combine technical excellence with leadership capabilities, driving best practices and standards while mentoring team members. This role offers the chance to make a significant impact on Salesforce's security infrastructure while working with some of the most advanced technologies in the field.