Apollo Research

Apollo Research

Research Scientist/Engineer (Science of Scheming)

London & San Francisco · Full-time

H1B sponsorship available$100k-$200kDetected 158 days ago
Machine LearningLLMsStatisticsLogisticsResearch

About the role

  • Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed.
  • Work towards " Scaling laws of scheming ".
  • Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before.

Responsibilities

  • You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone.
  • We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control).
  • We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research.
  • Collaborate with leading AI developers.
  • We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer.
  • Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems.
  • Work towards " Scaling laws of scheming ". Build the empirical foundations to predict how scheming risks evolve as models scale in capability.
  • Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models.
  • Relocation support and visa fees (if applicable)

Requirements

  • A diverse range of skill sets will be required to drive our research agenda forward and we don't expect any single candidate to fulfill all the characteristics below.
  • You have deeply thought about the problem of AI scheming and are familiar with all the relevant literature.
  • You are able to turn vague and undefined concepts into concrete and insightful experiment proposals.
  • If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.
  • If you're interested in more details about what it's like working at Apollo, you can find more information here.

Skills

  • Strong software engineering skills correlate highly with effective execution, even in an era of AI agents.
  • Our entire stack uses Python.
  • Strong analytical
  • Salary: 100k - 200k GBP (~150k - 270k USD)
  • Flexible work hours and schedule
  • Unlimited vacation
  • Unlimited sick leave
  • Up to 6 months of paid parental leave
  • Comprehensive health, dental and vision insurance
  • Retirement savings with competitive employer matching (e.g. 401(k) for US employees)
  • Lunch, dinner, and snacks are provided for all employees on workdays
  • Paid work trips, including staff retreats, business trips, and relevant conferences

Compensation

  • Lunch, dinner, and snacks are provided for all employees on workdays
  • Paid work trips, including staff retreats, business trips, and relevant conferences
  • A yearly $1,000 (USD) professional development budget
  • Relocation support and visa fees (if applicable)
  • Salary: 100k - 200k GBP (~150k - 270k USD)

Benefits

  • This role offers market competitive salary, equity, and competitive benefits.

Company info

  • Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable.
  • We are not hiring for interpretability roles.
  • The current evals team consists of Jérémy Scheurer, Alex Meinke, Bronson Schoen, Felix Hofstätter, Axel Højmark, Teun van der Weij, Alex Lloyd and Mia Hopman.
  • Alex Meinke coordinates the research agenda with guidance from Marius Hobbhahn, though team members lead individual projects.
  • You will mostly work with the evals team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations.
  • You can find our full team here.
  • The rapid rise in AI capabilities offer tremendous opportunities, but also present significant risks.At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI.
  • At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful.
  • Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process.
  • We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process.

Equal opportunity

  • Apollo Research is an Equal Opportunity Employer.
  • We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation.
  • Equality Statement: Apollo Research is an Equal Opportunity Employer.
  • Equal Opportunity Employer.

Visa & Work Authorization

  • We sponsor visas in both the UK and US.
  • Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route.
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This listing is sourced directly from Apollo Research's careers page and normalized into a canonical job model.