hirly
Sign inGet started free

Apolloresearch

Research Scientist/Engineer (Fundamental Science)

London & San Francisco

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Apolloresearch first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.7M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

See how it works

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
31 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable.

ABOUT THE OPPORTUNITY

The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI committed to giving embedded evaluators an unprecedented level of access.

Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.

As a fundamental researcher, your ground-breaking discoveries will make our embedded evaluations better. For example, our fundamental science team's paper “Measuring Reward-Seeking via Contrastive Belief Updates” can be adapted by embedded evaluators. We want more breakthroughs like this.

We are also developing a “Science of Scheming” . The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up.

Original posting on Apolloresearch's site ↗

Listed on hirly, a job board. hirly is not the employer: Apolloresearch is hiring for this role.

Similar jobs

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job