Cisco Software Engineer 

United States, California, San Francisco 

793295503

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 Platform Engineer, 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 Data Platform Engineer, you will.

• Design Scalable data pipelines for large semi-structured data using advanced distributed cloud data warehouse technologies.
• Build backend and data infrastructure that supports our need for fast data ingestion including customer telemetry data and open-source datasets, modeling experimentation and model evaluation pipelines.
• Build data quality and labeling pipelines for continuous data quality improvements
• Compile datasets from diverse data sources for AI Security applications.
• Ensure compliance with data provenance, governance, and privacy regulations; develop and enforce data creation and usage processes.
• Explore data generation strategies for textual and multi-modal data for AI Defense use cases, including working with the Threat Intelligence team to inform new data generation techniques
• You'll have the opportunity to contribute to our overall machine learning and data management culture as a member of the team.

• A BS with minimum 3 years of experience or MS in Computer Science/Engineering.
• Experience with some backend datastore similar to Snowflake or Databricks.
• 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.

• 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.