Cisco Lead Data Scientist 

United States, California, San Jose 

502290156

The mission AI Defense at Cisco is to provide end-to-end protection for Enterprise AI application. The team has deepin AI and security and is an active contributor tocutting edgeresearch and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. We are pioneers in all aspects of AI security from supply chain to development time model vulnerability detection to protecting against real time attacks on deployed AI applications.

Your Impact

Join Cisco's AI Defense ML Team and be at the forefront of AI Security innovation.

Here, you will tackle ever-evolving challenges andthe dynamic AI landscape to craft solutions that ensure AI safety and security for all. As a Datahave the chance to design the data platform drivingML algorithms that detect and protect against AI security risks.You'll gain deep expertise in the fields of both AI and security, engaging with all facets of detection techniques and their deployment in production environments.You will collaborate with a talented team of ML engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI safety and Security with us and make an enduring impact on AI adoption across the world!

As aData Scientist, you will.

• Lead a team of Data scientists on various data science and discovery projects.

• , log analysisand MLteamstoidentifyAIthreatand riskpatternsto inform ML model improvements.Analyze customer telemetry logs toidentifypatterns of failureand active threat hunting, convert them into actionable insights for the ML team.

• Build high quality evaluation datasets, conduct FP/FN analysis onexistingML modelsusingthese datasets, and help devise model improvement strategies

• Conduct analysis of training dataset quality,identifylow quality data clusters, build de-duplication algorithmsto continually improve ML performance by improving training data quality.

• Explore data generation strategies for textual and multi-modal data forAI Defenseuse cases.

• Design Scalable pipelines for large semi-structured data using advanced distributed cloud data warehouse technologies.

• You'll have the opportunity to contribute to our overall machine learning and data management culture as a member of the team.

Minimum Qualifications (Provide up to five (5) bullet points -these should be clearly defined,, non-comparative, relevant, and quantifiable to appropriately evaluate applicants – not including soft skills

• A BS with7years/MSwith4 /Phdwith 2yearsin Computer Science/Engineering.

• Strong background in one of the following areas, Machine learning, Statistical data analysis,Mathor software development on distributed systems.

• Strong programming skills in generic programming languages such as Python or Golang.

• proficiencyfor complex data transformations and querying, strong understanding of semi-structured data handling.