Назад
5 дней назад

Research Engineering Manager (AI)

280 000 - 430 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Research Engineering Manager (AI): Leading a research engineering team developing model and decision-making systems for conversational AI agents with an accent on model post-training, evaluation, safety, speech, and agent behavior. Focus on translating ambiguous research directions into measurable production outcomes, maintaining experimental rigor, and deploying reliable foundation-model systems at scale.

Location: San Francisco or New York City; in-office work in the United States

Salary: $280,000–$430,000 annually plus equity

Company

Decagon develops a conversational AI platform that enables enterprises to deliver personalized customer experiences across voice, chat, email, SMS, and other channels.

What you will do

  • Build, manage, and develop a high-performing team of research engineers through hiring, coaching, performance management, and career development.
  • Own the technical direction and roadmap across model post-training, evaluation, safety, speech, and agent systems.
  • Turn open-ended research ideas into focused programs with hypotheses, milestones, decisions, and measurable production impact.
  • Review architectures and experiments, debug systems, and contribute directly to technical work.
  • Set standards for experimental rigor, reproducibility, evaluation quality, engineering execution, and safe model rollouts.
  • Partner with Infrastructure, Agent Platform, Product Engineering, Product, and customer-facing teams to move research into production.

Requirements

  • 5+ years of industry experience building machine-learning systems involving language models, speech, agents, or model infrastructure.
  • 1+ years of people management experience combined with a strong individual-contributor background.
  • Deep experience with post-training, evaluating, deploying, or serving foundation models at scale.
  • Strong technical judgment and experience translating ambiguous research ideas into measurable product outcomes.
  • Experience hiring, coaching, and developing technical talent, with clear communication across research, engineering, product, and executive stakeholders.
  • Ability to work in-office in San Francisco or New York City.

Nice to have

  • Influential research, open-source contributions, or production machine-learning systems with significant real-world impact.

Culture & Benefits

  • In-office environment focused on excellence and velocity.
  • Medical, dental, and vision benefits for employees and families.
  • Life insurance, disability benefits, retirement plan, and parental leave.
  • Fertility and family-building benefits, wellness stipend, daily office meals and snacks.
  • Take-what-you-need vacation policy, subject to local requirements.

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