3+ years of AI research engineering experience in machine learning, deep learning, or natural language processing.
Proven experience developing machine learning models from inception to impactful deployment.
Strong programming skills in Python and familiarity with frameworks like PyTorch.
Bachelor's degree in Computer Science or related field, or equivalent experience.
Passion for technology and a desire to explore innovative tools for real-world challenges.
Ability to create simple solutions for complex problems, focusing on building reliable and scalable products.
A commitment to improving the environment and processes around them.
Responsibilities
Build innovative AI agent pipelines for discovering software vulnerabilities and generating exploits.
Design and maintain evaluation benchmarks that reflect user challenges.
Create and develop training procedures and reinforcement learning environments for coding agents.
Work on a product that addresses critical security issues, demonstrating immediate customer value.
Collaborate with a skilled team to drive forward AI security initiatives.
Benefits
Competitive salary with equity options.
Health and dental insurance coverage.
Office lunch provided for in-office work in San Francisco.
Full Job Description
About this role
We're seeking an experienced Research Engineer to join our effort in building and training AI agents for vulnerability discovery and exploitation.
We are building a technology capable of finding the next Log4J at scale, finding and remediating vulnerabilities in customer and open source codebases.
We are looking for strong engineers with strong intuition, experience in model evaluation, and benchmarks. Reinforcement Learning experience is a plus. Your work will play a crucial role in building a product that aims to redefine how companies do security.
You're excited about this role because you will...
Build State-of-the-Art AI Agentic pipelines optimized for discovering intricate software vulnerabilities and generate exploits
Design, Maintain and Evolve evaluation benchmarks for AI agents that reflects the problems our users face
Design& Develop training procedures and reinforcement learning environments to train security coding agents
Work on a Product that Solves a Critical Problem - and we already have a handful of customers who have found it valuable in fixing some eye-opening vulnerabilities within the first few days of using our product.
Qualifications
3+ years of full-time experience in AI research engineering in machine learning, deep learning, and/or natural language processing
Experience with developing machine learning models at scale from inception to business impact
Programming experience in Python and hands-on experience with frameworks such as PyTorch
A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
A love for technology, and an insatiable curiosity for new tools to tackle real problems
Capable of solving complex problems with simple solutions. Building reliable and scalable products, making right trade-offs along the way
A tendency to leave things in a better way than you found it
What We Offer
Competitive salary with meaningful equity
Health, Vision, and Dental Insurance
Office lunch and dinner (when working from our San Francisco office)
