Applied Scientist
Research Engineer – Formal Methods & Reasoning Systems (AI Safety Focus)Acceler8 Talent is working with an AI research lab to explore new directions in AI alignment and interpretability, with an emphasis on moving beyond purely empirical techniques toward more rigorous, structured approaches. They are interested in incorporating ideas from fields such as programming languages, formal verification, and program analysis to better understand and reason about model behavior.This position is well-suited for individuals who may not have a traditional machine learning background but bring strong expertise in formal systems, abstraction, and rigorous reasoning, and are interested in applying those skills to AI safety challenges.Key Responsibilities
Investigate how concepts from formal verification and program analysis can be applied to understanding the internal behavior of machine learning models
Develop experimental tools that integrate structured reasoning techniques with interpretability methods
Work closely with research teams to design new abstractions for analyzing and constraining model behavior
Prototype approaches that move toward verification-inspired safety assurances for AI systems
Contribute to shaping emerging research directions within the organizationExample Areas of Work
Adapting compiler-inspired abstractions to represent and analyze internal model computations
Creating structured methodologies for reasoning about activation-level behavior and model circuits
Building tooling that combines interpretability techniques with constraints influenced by verification principles
Exploring program analysis techniques to identify potentially unsafe reasoning patterns within modelsQualifications
Strong background in areas such as programming languages, compilers, systems research, formal verification, or related fields
Experience in theorem proving, security research, operating systems, or similar domains is valuable
Demonstrated ability to think abstractly and build novel research systems or tooling from the ground up
PhD is preferred