1 year ago
Base Salary
$200k - $400k/yr
Responsibilities
- Lead research and engineering efforts to improve instruction following, retrieval, memory, and long-horizon task completion in production.
- Build and iterate on end-to-end models and pipelines optimized for quality, efficiency, and user experience.
- Partner with platform and product engineers to integrate new models into production systems.
- Translate ambiguous research ideas into clear milestones and multi-quarter roadmaps.
- Own initiatives that advance the conversational agent’s reliability, capability, and efficiency.
Requirements
- 5+ years of experience in AI/ML engineering or research.
- Prior experience post-training and deploying LLMs in production environments.
- Fluency in Python and modern machine learning tooling for training, evaluation, and data pipelines.
- A track record of turning research prototypes into reliable, measurable production impact.
Benefits
- Take-what-you-need vacation policy; UK employees receive 25 days of statutory leave.
- Medical, dental, and vision benefits for employees and families.
- Life insurance and disability benefits.
- Retirement plan, such as a 401(k) or pension.
- Parental leave.
- Fertility and family-building benefits through Carrot.
- Daily lunches and snacks in the office.
- Full-time, in-office work arrangement; benefits may vary by location.
Tech Stack
Categories
About Decagon
Decagon builds an enterprise conversational AI platform that deploys customer-support agents across voice, chat, email, SMS, and other channels. It sells to large brands via enterprise subscriptions and services, helping automate and personalize support workflows. Founded in 2023 and headquartered in San Francisco, Decagon’s customers include Avis Budget Group, Chime, Oura Health, and 1-800-Flowers.