Databricks logo

Senior AI Security Engineer

Databricks

About the Role

As a Senior AI Security Engineer at Databricks, you will be a crucial part of the Responsible AI Team. Your primary responsibilities will include performing security design reviews and red team engagements on new and existing AI models and systems. You will also engage in novel research in the AI security field, actively following newly published research and contributing to the development of secure AI technologies.

Responsibilities

  • Conduct Red Team operations on live AI systems in development and production environments, employing adversarial strategies to discover vulnerabilities.
  • Investigate new and emerging threats to ML systems and address them both internally and externally.
  • Create and refine a set of tools, techniques, dashboards, and automated processes for effective vulnerability discovery and reporting in AI systems.
  • Guide model and system development securely through the Software Development Life Cycle (SDLC).
  • Pioneer best practices and provide guidance for various facets of ML technology.
  • Collaborate with internal teams to facilitate advances in operational security and monitoring procedures.

What We Look For

The ideal candidate will have a strong background in Machine Learning and Deep Learning concepts with coding experience using libraries like TensorFlow, PyTorch, or SparkNLP. Expertise in programming languages such as Python or C++ for coding and secure code reviews is essential. Knowledge of cybersecurity principles and tools for vulnerability discovery and exploitation is also crucial.

Experience and Education

  • Typically 4+ years of experience or an advanced degree (MS/PhD) with 3+ years of experience in the ML domain.
  • BS or higher in Computer Science, or a related field.

Benefits

Databricks offers a comprehensive benefits package including private medical insurance, life and disability coverage, a pension plan, equity awards, and more. Employees also enjoy enhanced parental leaves, fitness reimbursements, and an annual career development fund among other perks.

Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Benefits
Extracted with AI

  • Private medical insurance
  • Private life and disability coverage
  • Pension Plan
  • Equity awards
  • Enhanced Parental Leaves
  • Fitness reimbursement
  • Annual career development fund
  • Home office & work headphones reimbursement
  • Business travel accident insurance
  • Mental wellness resources
  • Employee referral bonus

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