Founding AI Scientist: Secure AI & Enterprise ML

Deca Talent; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Job summary

Deca Talent is partnering with a well-funded, early-stage AI security startup to hire a Founding AI Scientist / ML Research Engineer. You will bridge research and engineering, turning modern ML/LLM research into production-ready systems that operate with enterprise data.

You’ll develop LLM and ML systems for security apps, design evaluation frameworks, and explore new reasoning and decision-making approaches with LLMs while shaping the platform’s technical direction in its seed phase.

Qualifications

• Strong experience with LLMs and modern machine learning.
• Hands-on experience with model evaluations / LLM evals.
• Strong ML engineering capabilities alongside research experience.
• Comfortable building production-quality systems, not just prototypes.
• Able to work independently and take ownership of significant technical problems.
• Experience moving research into real-world products.

Responsibilities

• Developing LLM and ML systems for AI security applications
• Designing and building rigorous model evaluation / eval frameworks
• Researching new approaches to reasoning, classification and decision-making with LLMs
• Working with real-world enterprise data, identity, access and behavioral signals
• Helping shape the technical direction of the AI platform at an early-stage company

Skills

LLMs

ML Engineering

Model Evaluations

Production Systems

Job description

Deca Talent is partnering with a well-funded, early-stage AI security startup to hire a Founding AI Scientist / ML Research Engineer. You will bridge research and engineering, turning modern ML/LLM research into production-ready systems that operate with enterprise data.

You’ll develop LLM and ML systems for security apps, design evaluation frameworks, and explore new reasoning and decision-making approaches with LLMs while shaping the platform’s technical direction in its seed phase.