Zscaler is looking to solve cybersecurity challenges by developing innovative ML/AI projects that protect customers from cyberattacks and data loss, leveraging a cloud-native Zero Trust Exchange platform.
Requirements
- 10+ years of experience as a Machine Learning Engineer or Scientist, with a proven track record of delivering successful projects, along with a solid understanding of machine learning concepts and their applications in cybersecurity
- Strong proficiency in Algorithms, Game Theory and Optimization, Verification, ML libraries and frameworks
- Extensive experience in data modeling, feature engineering, model development, and error analysis
- Proven track record of designing, building and shipping end-end applications at scale, with familiarity with multi-agent systems and orchestration frameworks
- Deep expertise with cloud infrastructure (e.g. AWS, GCP) for AI workloads
- Strong experience with agent architectures and SOTA AI frameworks, along with contributions to open-source ML projects, top-tier research publications
Responsibilities
- Leading the design and development of cutting edge, production ready AI/ML systems and pipelines, cybersecurity applications and providing technical guidance to junior and mid-level engineers
- Optimizing existing machine learning pipelines for improved efficiency and scalability
- Exploring and experimenting with advanced AI techniques and architectures to solve complex cybersecurity problems as well as staying updated on the latest advancements in AI and applying them to our cybersecurity solutions
- Collaborating with cross-functional teams to define project requirements and ensure alignment with business objectives
- Ensuring systems and applications meet reliability, scalability and performance requirements
Other
- Bachelor's degree in Computer Science, or a related technical field (Master's Degree or PhD preferred)
- Excellent communication skills with ability to translate complex technical concepts to stakeholders, peers. Record of peer reviewed communication is a plus
- This is a hybrid work environment, going into our San Jose, CA office 3 days a week
