ML Application Security Engineer

A CB Insights Top 100 AI Startup focused on developing private and personalized LLMs with privacy, safety, and real-world responsibility.
Security
Senior Software Engineer
Remote
11 - 50 Employees
5+ years of experience
AI · Cybersecurity

Description For ML Application Security Engineer

Dynamo AI, recognized as a 2023 CB Insights Top 100 AI Startup, is seeking an ML Application Security Engineer to join their innovative team. The company is dedicated to developing LLMs with a strong focus on privacy, safety, and real-world responsibility. This role sits at the crucial intersection of machine learning and security, where you'll work directly with Fortune 500 companies to ensure the safe and responsible adoption of frontier AI research.

The position offers a unique opportunity to work on the premier platform for private and personalized LLMs, free from traditional Big Tech and academic constraints. You'll be part of a fast-paced team of ML Ph.D.'s and builders, where your impact can be seen in weeks rather than years. The role involves designing and implementing secure architectural patterns for SaaS-based platforms, working directly with customers to enhance their AI/ML security posture, and collaborating with cross-functional teams to shape product direction.

As an ML Application Security Engineer, you'll be at the forefront of democratizing state-of-the-art research on safe and responsible AI. The ideal candidate brings significant experience in securing production AI/ML infrastructure, deep knowledge of security posture management, and strong familiarity with LLM implementations and their security implications. This role is perfect for someone who is passionate about building fair, unbiased, and responsible AI systems without compromising user privacy.

Working at Dynamo AI means joining a company that values transparency, innovation, and impact. The position offers flexibility with remote work options and multiple office locations across major tech hubs. You'll be part of a mission-driven team that's committed to revolutionizing how companies implement and secure their AI systems, making this an excellent opportunity for those who want to make a meaningful impact in the intersection of AI and security.

Last updated 20 days ago

Responsibilities For ML Application Security Engineer

  • Work directly with customers to assess and enhance their AI/ML security posture, providing expert guidance and support
  • Design and implement architectural patterns and proof of concepts for secure SaaS-based platform deployments
  • Collaborate with cross-functional teams, including Product Managers and Engineers, to gather customer requirements and influence product direction

Requirements For ML Application Security Engineer

  • Significant experience deploying and securing production AI/ML infrastructure in complex environments
  • Deep understanding of popular security posture management tools and practices
  • Strong familiarity with AI/ML concepts, LLM implementations and their security implications
  • Previous experience in security services setup or at a large SaaS security company is highly desirable

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