出海雷达

资深后端工程师 - 核心AI

Staff Backend Engineer - Core AI

AI开发工程限定地区(需当地身份)
公司Anzen
薪资$200,000 - $230,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间13 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Anzen由前保险和科技高管创立,他们共同打造了三家独角兽企业。我们获得Andreessen Horowitz(a16z)和Madrona等顶级投资机构的支持,致力于利用人工智能改变企业选择和理解商业保险的方式。
目前商业保险的运作依赖于电子邮件、PDF文件和漫长的承保流程,通常需要数周时间才能获得保障。Anzen正在打造全球首个面向经纪人的AI保险平台,彻底改善他们处理申请、选择市场和为客户生成报价的方式。
我们组建了一支来自顶尖大学的团队,拥有在Google、Uber、Lyft、Oracle以及由世界顶级投资人创办的初创公司中成功扩展产品经验,我们正在墨西哥、加拿大和美国继续扩大团队。
你将构建我们的核心技术,确保其能够支持数亿美元的保险政策,并利用机器学习帮助保险承保人提升5-10倍的效率。
职责

  • 与设计和产品团队合作,将模糊的经纪人痛点转化为具体的AI功能,其表现应与人类专家相当或更优。
  • 负责完整的机器学习生命周期,从将业务问题转化为研究问题,评估结果并以适当的基础设施进行部署。
  • 设计生产级系统,结合实时推理与人工审核,并符合严格的隐私和审计要求。
  • 提升工程品质,推动技术路线图并倡导最佳实践。
  • 指导我们的工程团队,帮助定义Anzen的工程文化。

我们寻找的人才

  • 8年以上构建数据密集型或机器学习驱动的后端系统经验
  • 具有生产思维:你曾部署具有显著业务影响的关键模型(如延迟、成本、ROI)。
  • 广泛的机器学习工具箱,包括经典机器学习(尤其是自然语言处理)到生成式AI。
  • 强大的后端基础:分布式系统、流数据管道。
  • 在生产环境中熟练使用Python和/或TypeScript。
  • 具备创业基因:在不确定中茁壮成长,倾向于采取行动。

为什么加入Anzen:
来与我们一同重塑保险的未来。
在一个快速发展的行业中,与先进技术一起工作。
享有职业发展和晋升机会。
一个注重卓越和诚信的协作创新企业文化。
成为一家重视主动风险管理与前沿解决方案的公司的成员。
公司文化:

查看英文原文

Anzen was founded by former insurance and tech executives who’ve collectively scaled three unicorns. Backed by leading investors like Andreessen Horowitz (a16z) and Madrona, we’re on a mission to transform how companies choose and understand commercial insurance using AI.
Commercial insurance today runs on emails, PDFs, and lengthy underwriting cycles — often taking weeks to secure coverage. Anzen is building the world’s first AI insurance platform for brokers, radically improving how they manage submissions, select markets, and generate quotes for their clients.
We've built a team from top universities, with experience scaling products at Google, Uber, Lyft, Oracle, and startups founded by the best investors in the world, and are continuing to scale our team in Mexico, Canada, and the United States.
You will build our core technology to ensure it can scale to hundreds of millions of dollars in insurance policies and use ML to help insurance underwriters be 5-10x more effective.
Responsibilities

  • Partner with Design & Product to translate fuzzy broker pain points into concrete, AI capabilities that perform equally or better than human experts.
  • Own the full ML lifecycle from framing business problems into research problems, evaluating results and rolling them out with the appropriate infrastructure.
  • Architect production‑grade systems that marry real‑time inference with human‑in‑the‑loop review and comply with strict privacy & audit requirements.
  • Elevate engineering quality, driving technical roadmaps and championing best practices
  • Mentor our Engineering team and help define Engineering culture at Anzen.

What we’re looking for

  • 8+ years building data‑intensive or ML‑driven backend systems
  • Production mindset: you’ve shipped business critical models with measurable business impact (latency, cost, ROI).
  • Broad ML toolbox, from classic ML (especially NLP) to GenAI
  • Strong backend fundamentals: distributed systems, streaming data pipelines
  • Fluency in Python and/or TypeScript in a production environment.
  • Startup DNA: thrive in ambiguity, bias to action.

Why Join Anzen:
Come join us in reinventing the future of insurance.
Work with advanced technologies in a rapidly growing industry.
Opportunities for professional development and career advancement.
A collaborative and innovative company culture focused on excellence and integrity.
Be part of a company that values proactive risk management and cutting-edge solutions.
Company Culture:

Anzen believes the world of work is fundamentally different in the new post-Covid environment. We are committed to supporting a diverse and hard working team that puts in the necessary time but also desires balance between health, family, and work. We fully embrace remote work lifestyles while centering our weeks around Pacific Standard Time (PST) with a general orientation to San Francisco as the geographic HQ.
Originally posted on Himalayas

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