Kỹ sư Nghiên cứu, Universes tại Anthropic

Tổng quan vị trí

The Research Engineer, Universes opening at Anthropic is centered on Deliver technical or research work for research engineering for AI universes. 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, universes focused on research engineering for AI universes. 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 | Seattle, WA | New York City, NY. 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.

Trách nhiệm

• Thực hiện công việc kỹ thuật hoặc nghiên cứu cho kỹ thuật nghiên cứu cho AI universes.
• Phối hợp với các nhóm nghiên cứu, kỹ thuật, bảo mật, hạ tầng và vận hành.
• Cải thiện độ tin cậy, kiểm thử, tài liệu và mức sẵn sàng vận hành.
• Chuyển câu hỏi kỹ thuật phức tạp thành hệ thống hoặc kết quả nghiên cứu đo được.

Yêu cầu

• Có kinh nghiệm chuyên môn phù hợp về IT, bảo mật trung tâm dữ liệu, sản xuất, machine learning hoặc kỹ thuật nghiên cứu.
• Kỹ năng phân tích, giao tiếp và hệ thống tốt.
• Có khả năng làm việc hiệu quả trong môi trường remote hoặc phân tán.

Công nghệ trong công việc

• The available source copy does not provide a named technology stack for this opening. Check the employer posting for project-specific tools and systems before applying.

Hướng dẫn đánh giá mức độ phù hợp (tiếng Anh)

Phân tích dựa trên yêu cầu và trách nhiệm trong tin tuyển dụng của nhà tuyển dụng.

Understanding the scope. This Research Engineer, Universes position at Anthropic is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “The Research Engineer, Universes opening at Anthropic is centered on Deliver technical or research work for research engineering for AI universes. The employer also lists Collaborate with research, engineering,…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the technical area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Deliver technical or research work for research engineering for AI universes.”; “Collaborate with research, engineering, security, infrastructure and operations teams.”; “Improve reliability, testing, documentation and operational readiness.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “Relevant professional experience in IT, data center security, manufacturing, machine learning or research engineering.”; “Strong analytical, communication and systems skills.”; “Ability to work effectively in a remote or distributed environment.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A.

Phúc lợi

• Làm việc remote-friendly tại Hoa Kỳ theo tin đăng; yêu cầu đi lại hoặc văn phòng tùy vai trò.
• Cơ hội hỗ trợ AI frontier và sứ mệnh an toàn của Anthropic.

Về 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.

Applications are now open for our January cohort - apply here.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.

Direct mentorship from Anthropic researchers

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