At a Glance
- Tasks: Design automated pipelines to assess AI model alignment and evaluate frontier AI models.
- Company: Join Apollo Research, a leader in AI evaluations with a collaborative spirit.
- Benefits: Market competitive salary, equity options, and opportunities for professional growth.
- Other info: Work closely with top AI labs like OpenAI and Google DeepMind in a dynamic environment.
- Why this job: Be at the forefront of AI technology and make a real impact on future innovations.
- Qualifications: 5+ years in software engineering, strong Python skills, and data analysis experience.
The predicted salary is between 63000 - 77000 £ per year.
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 Open AI, Anthropic, and Google Deep Mind.
- 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
- #J-18808-Ljbffr
Research Scientist/Engineer — Evaluations at Apollo Research employer: OpenDoorHub
Apollo Research is an exceptional employer, offering a dynamic work environment in the heart of London and San Francisco, where innovation meets collaboration. Employees benefit from competitive salaries, equity options, and the chance to work alongside leading AI labs like OpenAI and Google DeepMind, fostering both personal and professional growth. With a strong emphasis on employee development and a culture that encourages creativity and critical thinking, Apollo Research is dedicated to making a meaningful impact in the field of AI evaluations.
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