Research Scientist/Engineer — Evaluations at Apollo Research

OpenDoorHub; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Equity

Job summary

Apollo Research in London and San Francisco is hiring a Research Scientist/Engineer for its pre-deployment team. You will design automated pipelines to assess AI model alignment and perform red-teaming on checkpoints across post-training stages.

The role emphasizes software engineering, data analysis, and clear technical reporting. The position is full-time and on-site in London and SF, offering collaboration with frontier labs such as OpenAI and Google DeepMind, and includes equity

Qualifications

• Software engineering experience with Python.
• Data analysis and pattern recognition.
• Excellent writing and communication skills.
• Experience using AI to accelerate work.

Responsibilities

• Design and build automated pipelines for assessing AI model alignment and scheming
• Evaluate and red-team checkpoints at various stages of post-training
• Automated analysis of post-training data

Skills

Python

Data analysis

Communication

AI model evaluation

Software engineering

Job description

Research Scientist/Engineer — Evaluations at Apollo Research

Apollo Research is seeking a Research Scientist/Engineer for its pre-deployment team in London and San Francisco. The role involves designing automated pipelines for assessing AI model alignment and scheming. The ideal candidate has strong software engineering skills, experience with data analysis,

Apollo Research is hiring a Research Scientist/Engineer to work on Training-Run Assessments, evaluating frontier AI models for scheming and misalignment. The role is full-time and on-site, with thousands of runs across hundreds of distinct environments approximately every two weeks. The ideal candidate has 5+ years of experience in software engineering and data analysis.

Overview

The Research Scientist/Engineer will be part of a pre-deployment team working on evaluating and red-teaming AI models, with opportunities to interact with new models before they are released. The role involves collaborating with frontier labs like OpenAI, Anthropic, and Google DeepMind.

• Design and build automated pipelines for assessing AI model alignment and scheming
• Evaluate and red-team checkpoints at various stages of post-training
• Automated analysis of post-training data

Role & Responsibilities

The Research Scientist/Engineer will be responsible for running and owning pre-deployment engagements, developing methodology for training-run assessments, and reporting findings to frontier AI labs.

• Run pre-deployment evaluation campaigns with frontier AI labs
• Develop and improve methodology for training-run assessments
• Implement new evaluations and build infrastructure for automated red-teaming

Requirements

• Software engineering skills with Python
• Data analysis and pattern recognition experience
• Excellent writing and communication skills
• Experience using AI to accelerate work
• Market competitive salary
• Equity