TL;DR
Staff Research Engineer (AI): Responsible for building industry-leading conversational AI models that power hirify.global’s agent, and taking them all the way from idea to production with an accent on instruction following, retrieval, memory, and long-horizon task completion. Focus on optimizing for quality, efficiency, and user experience, integrating new models into production systems and setting technical direction for applied research and engineering.
Location: San Francisco. Hybrid work format
Salary: $350K – $475K
Company
hirify.global is the leading conversational AI platform empowering every brand to deliver concierge customer experience.
What you will do
- 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.
Requirements
- 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
Culture & Benefits
- Medical, dental, and vision benefits
- Take what you need vacation policy
- Daily lunches, dinners and snacks in the office to keep you at your best
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →