Sr. Data Scientist.

Meet the Team

The mission AI Defense at Cisco is to provide end-to-end protection for Enterprise AI application. The team has deep expertise in AI and security and is an active contributor to cutting edge research 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 and leverage the dynamic AI landscape to craft solutions that ensure AI safety and security for all. As a Data Scientist, you'll have the chance to design the data platform driving cutting-edge ML 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 a Lead Data Scientist, you will.

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

Lead collaborations with Threat Intelligence, log analysisand ML teams to identifyAI threat and risk patterns to inform ML model improvements. Analyze customer telemetry logs to identify patterns of failure and active threat hunting, convert them into actionable insights for the ML team.

Build high quality evaluation datasets, conduct FP / FN analysis on existing ML models using these datasets, and help devise model improvement strategies

Conduct analysis of training dataset quality, identify low quality data clusters, build de-duplication algorithms to continually improve ML performance by improving training data quality.

Explore data generation strategies for textual and multi-modal data for AI Defense use 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, objective, non-comparative, relevant, and quantifiable to appropriately evaluate applicants – not including soft skills) :

A BS with 7years / MS with 4 / Phd with 2 yearsin Computer Science / Engineering.

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

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

SQL proficiency for complex data transformations and querying, strong understanding of semi-structured data handling.

Preferred Qualifications (Provide up to five (5) bullet points : these can include soft skills)

An attitude of hands-on learning and constant experimentation to decompose and understand problem areas.

Comfortable with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action.

Familiarity with modern data warehousing technologies like Snowflake / databricks and data formats like Snowpark / Iceberg

Ability to use the latest GenAI technologies and creative prompting. Comfortable with traditional ML frameworks like pytorch, TensorFlow, FastAI etc...

Excellent written and verbal communication skills, strong analytical and problem-solving skills.