Senior Research Engineer
San Francisco / New York City · 全职 · 算法与研究
需要对标的能力
Prompt Engineering · 提示词工程RAG · 检索增强生成Agent · 智能体设计上下文工程 · 记忆管理模型微调 · Post-Training评测 · Eval 方法论AI 产品设计 · 产品化
岗位职责与要求
About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Team
Read more about the research team's work here: https://decagon.ai/blog/introducing-decagon-labs
The Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.
Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.
About the Role
As a Senior Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the agent’s reliability, capability, and efficiency forward, and you’ll design and implement frontier approaches for training, evaluation, and orchestration across the system.
We’re looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions.
In this role, you will
- Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion
- Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience
- Partner with platform and product engineers to integrate new models into production systems
- Break down ambiguous research ideas into clear, iterative milestones and roadmaps.
Your background looks something like this
- 4+ years of experience in AI/ML engineering or research.
- Prior experience post-training and deploying LLMs in production environments.
- Fluency in Python and modern ML tooling (training, evaluation, data pipelines)
- Track record of taking research ideas from prototype → reliable, measurable production impact
Compensation
$200K – $400K + Offers Equity
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
Benefits
We proudly offer the following benefits for our full-time employees:
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot
- Monthly stipend to support your wellness, lifestyle, and work-life balance
- Daily lunches and snacks in the office to keep you at your best
- Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
Decagon offers a competitive benefits package that varies by country and complements local statutory benefits. Details for this location will be provided during the recruitment process.
查看中文参考译文
关于 Decagon
Decagon 是领先的对话式 AI 平台,致力于让每个品牌都能提供礼宾级客户体验。
我们的技术使行业标杆企业如 Avis Budget Group、Block 的 Cash App 和 Square、Chime、Oura Health 和 Hunter Douglas 能够部署 AI Agent,在语音、聊天、邮件、短信及所有其他渠道上实现个性化、深度令人满意的交互。
我们正在构建一个客户体验被重新定义的未来——从 support tickets 和 hold music 转向更快的 resolution、更丰富的对话和更深的关系。我们很自豪能得到世界级投资者的支持,他们与我们共享这一愿景,包括 a16z、Accel、Bain Capital Ventures、Coatue 和 Index Ventures 等。
我们是一家要求员工到办公室上班的公司,以追求卓越和速度为共同驱动力。我们的价值观——Just Get It Done、Invent What Customers Want、Winner's Mindset 和 The Polymath Principle——塑造着我们的工作方式和团队成长。
关于团队
在此了解更多研究团队的工作:https://decagon.ai/blog/introducing-decagon-labs
研究团队开发支撑 Decagon 企业级对话 Agent 的模型和决策 stack。我们研究、adapt 和实现 model training、prompting、orchestration 和 evaluation 方面的 state-of-the-art 技术,以使我们的 Agent 在真实部署中更准确、更 robust、更高效。
我们的目标是推动 applied conversational AI 的前沿:能够可靠理解 nuanced intent、跟踪 long context、并在不确定性下采取正确行动的 Agent。我们以客户的感受来衡量成功:更高的 resolution rates、更好的 user satisfaction,以及规模化下的一致表现。
关于职位
作为 Senior Research Engineer,你将负责构建行业领先的对话式 AI 模型,为 Decagon 的 Agent 提供动力,并将其从想法一直推进到 production。你将主导 multi-quarter 的 initiatives,推动 Agent 的 reliability、capability 和 efficiency 向前发展,并设计实现整个系统中 training、evaluation 和 orchestration 的前沿方法。
我们正在寻找希望构建我们 AI Agent 背后核心模型和算法的优秀工程师。在这里,人们 end-to-end 地负责自己的工作,ship 真正的改进,并被信任做出高影响力的技术决策。
在这个职位中,你将
- 主导研究和工程工作,提升 production 中的核心对话能力,包括 instruction following、retrieval、memory 和 long-horizon task completion
- 构建和迭代 end-to-end 的模型和 pipelines,优化 quality、efficiency 和 user experience
- 与 platform 和 product 工程师合作,将新模型集成到 production systems
- 将模糊的研究想法分解为清晰的、可迭代的 milestones 和 roadmaps
你的背景大致如下
- 6 年以上 AI/ML 工程或研究经验
- 有在 production 环境中 post-training 和 deploying LLMs 的经验
- 精通 Python 和现代 ML tooling(training、evaluation、data pipelines)
- 有将研究想法从 prototype 推进到可靠、可衡量的 production impact 的 track record
薪酬
$200K – $400K + 提供 Equity
该范围反映了此职位的预期薪酬。范围内的薪酬根据经验、技能和职责范围确定,对于展现出 exceptional impact 的候选人具有灵活性。
除 base salary 外,我们提供有竞争力的 equity。最终薪酬可能因在美国境内的 location 而有所不同。
福利
我们为全职员工自豪地提供以下福利:
- 为你和你的家人提供 Medical、Dental 和 Vision benefits
- Life Insurance 和 Disability Benefits
- Retirement Plan(如 401K、pension)
- 通过 Carrot 提供的 Fertility 和家庭建设福利
- 每月 stipend,支持你的 wellness、lifestyle 和 work-life balance
- 办公室每日午餐和零食,让你保持最佳状态
- Take what you need 休假政策(需符合当地要求;英国员工享有 25 天 statutory leave)
这些福利在 Decagon 的政策中有更详细的描述,可能因 location 而异,并可能随时根据适用的 compensation 和 benefits plans 进行调整。
译文仅供辅助阅读,具体要求以原始招聘来源为准。