Software Engineer (Infrastructure)
Job Description
Applications deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable.
THE OPPORTUNITY
Apollo Research's mission is to reduce the risks from scheming frontier AI systems. We work with and are trusted by every frontier AI lab. We test their models before deployment and collaborate with them on scheming mitigations.
We're looking for a Software Engineer to build the platform that the rest of Apollo runs on. This platform determines how quickly we can take on new research and scale our operations, whilst keeping our most valuable assets secure.
Apollo is fast-growing and fast-moving and this role is critical to enabling that growth and strengthening the trust of our partners, which is essential to our mission.
Applications deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable.
THE OPPORTUNITY
Apollo Research's mission is to reduce the risks from scheming frontier AI systems. We work with and are trusted by every frontier AI lab. We test their models before deployment and collaborate with them on scheming mitigations.
We're looking for a Software Engineer to build the platform that the rest of Apollo runs on. This platform determines how quickly we can take on new research and scale our operations, whilst keeping our most valuable assets secure.
Apollo is fast-growing and fast-moving and this role is critical to enabling that growth and strengthening the trust of our partners, which is essential to our mission.
ABOUT THE TEAM
The SWE (Research) team currently consists of Rusheb Shah, Glen Rodgers, Andrei Matveiakin, and Alex Kedryk. Beyond the SWE team, you will closely interact with the research scientists and engineers as the primary user group of your tools. You can find our full team here.
ABOUT APOLLO RESEARCH
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. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g. building evaluations), the science of scheming (e.g. model organisms), and scheming mitigations (e.g. anti-scheming, and control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment or collaborate on scheming mitigations.
At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful.
If you’re interested in more details about what it’s like working at Apollo, you can find more information here.
Equality Statement
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.
INTERVIEW PROCESS
Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples.
- Screening interview
- Take-home test (approx. 2 hours)
- 3 technical interviews
- Final interview with Marius (CEO)
Our multi-stage process includes the steps above. The technical interviews will be closely related to tasks the candidate would do on the job. There are no leetcode-style general coding interviews. If you want to prepare for the interviews, we suggest working on hands-on LLM evals projects (e.g. as suggested in our starter guide), such as building LM agent evaluations in Inspect.
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. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at [email protected].