Decagon은 Staff Research Engineer를 채용합니다. LLM을 프로덕션 환경에 배포하고 최적화한 경험이 필수이며, 8년 이상의 AI/ML 경력을 요구합니다. 대화형 AI 모델의 연구부터 배포까지 전 과정을 주도하며, 기술적 로드맵 수립 및 팀 멘토링을 수행합니다. San Francisco 사무실 출근 기반의 역할입니다.
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.
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.
As a Staff 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.
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.
Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering
8+ 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
Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution
$200K – $400K + Offers Equity
We proudly offer the following benefits for our full-time employees:
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
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
Daily lunches and snacks in the office to keep you at your best
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
