ML Application Security Engineer
San Francisco, CA
Dynamo AI
Dynamo AI offers end-to-end AI Performance, Security, and Compliance solutions for delivering Enterprise-grade Generative AI.
At Dynamo AI, we believe that LLMs must be developed with privacy, safety, and real-world responsibility in mind. Our ML team comes from a culture of academic research driven to democratize AI advancements responsibly. By operating at the intersection of ML research and industry applications, our team empowers Fortune 500 companies’ adoption of frontier research for their next generation of LLM products. Join us if you:• Wish to work on the premier platform for private and personalized LLMs. We provide the fastest end to end solution to deploy research in the real world with our fast-paced team of ML Ph.D.’s and builders, free of Big Tech / academic bureaucracy and constraints.• Are excited at the idea of democratizing state-of-the-art research on safe and responsible AI.• Are motivated to work at a 2023 CB Insights Top 100 AI Startup and see your impact on end customers in the timeframe of weeks not years.• Care about building a platform to empower fair, unbiased, and responsible development of LLMs and don’t accept the status quo of sacrificing user privacy for the sake of ML advancement.
Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.
Responsibilities
- 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 to better solve customers security problems
Qualifications
- 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.
Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.
* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰
Job stats:
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Categories:
AppSec Jobs
Security Engineering Jobs
Tags: Application security Compliance LLMs Privacy SaaS
Perks/benefits: Equity / stock options Startup environment
Region:
North America
Country:
United States
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