Research Engineer, Takeoff Intel at Anthropic

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Anthropic is hiring a research engineer, takeoff intel focused on AI safety and takeoff intelligence research.

Anthropic

Location: Remote
Work arrangement: remote

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Role overview

The Research Engineer, Takeoff Intel opening at Anthropic is centered on Deliver technical or research work for AI safety and takeoff intelligence research. The employer also lists Collaborate with research, engineering, security, infrastructure and operations teams. and Improve reliability, testing, documentation and operational readiness. These responsibilities define the practical scope more clearly than the job title: applicants should be ready to explain what they have built, supported or delivered that relates directly to this work. The listing summary says: Anthropic is hiring a research engineer, takeoff intel focused on AI safety and takeoff intelligence research. The source material available for this page does not provide a complete technology list.

The posting identifies Relevant professional experience in IT, data center security, manufacturing, machine learning or research engineering. and Strong analytical, communication and systems skills. as relevant qualifications. Candidates should connect these requirements to evidence from their own work, including their individual contribution, technical decisions and outcomes. The listing describes the work arrangement as remote and gives the location as Remote-Friendly (Travel Required) | San Francisco, CA / San Francisco, California, United States. Confirm country eligibility, travel, employment terms and any details absent from this summary directly with Anthropic before applying. This overview is based on the employer-provided posting; it does not infer team structure or expectations that the source does not state.

Responsibilities

Deliver technical or research work for AI safety and takeoff intelligence research.
Collaborate with research, engineering, security, infrastructure and operations teams.
Improve reliability, testing, documentation and operational readiness.
Translate complex technical questions into measurable systems or research outcomes.

Qualifications

Built tools or libraries that other researchers rely on
A track record of catching what AI-written code gets wrong
Anthropic ECI: our adaptation of Epoch Capabilities Index published in all recent system cards to measure capability acceleration
AI R&D capability assessments in the Claude system cards
When AI Builds Itself : all data in the article comes from our team
The annual compensation range for this role is listed below.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Technology in this role

Go: We often need to go from a vague research question to a running instrument .
R: Built tools or libraries that other researchers rely on A track record of catching what AI-written code gets wrong Anthropic ECI: our adaptation of Epoch Capabilities Index published in all recent system cards to measure capability acceleration AI R&D capability assessments in .
large language models: Have run experiments on large language models, not just moved their outputs .
CAN: Can work from a vague question rather than a .

Benefits

Remote-friendly United States arrangement as stated; travel or office requirements vary by role.
Opportunity to support Anthropic’s frontier AI and safety mission.

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

At Anthropic, we are delegating a growing share of AI development to AI systems themselves . Takeoff Intel is the team that measures this recursion from the inside. We're part of the Anthropic Institute . We design evaluations of AI R&D capabilities, build the internal telemetry Anthropic uses to track how much of its own model development is becoming AI-assisted, and develop the quantitative methods that turn those signals into a calibrated picture of where capability growth is heading, so that Anthropic and the wider world have accurate situational awareness on this acceleration.

Our work appears in Anthropic's model system cards (we own the AI R&D capability assessments and adapted Epoch's Capabilities Index to our evals); all the data in When AI Builds Itself comes from our team. Internally, our measurements shape research priorities and safety planning; externally, they contribute to Anthropic's public reporting on the pace of AI progress and to collaborations with third-party evaluators. We're a small team that works closely with pretraining, RL, economics, and policy researchers across the company. If you're passionate about measurement accuracy, and feel urgency about safety and situational awareness, you should consider joining us.

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How to apply

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Source checked: 2026-10-17