6 months ago
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
- Break down ambiguous research ideas into clear iterative milestones and roadmaps
- Own multi-quarter initiatives that improve agent reliability, capability, and efficiency
Requirements
- At least 5 years of experience in AI/ML engineering or research
- Prior experience post-training and deploying large language models in production environments
- Fluency in Python and modern machine learning tooling for training, evaluation, and data pipelines
- A track record of taking research ideas from prototype to 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
- In-office work arrangement
Tech Stack
Categories
AI ResearchML Engineering
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, Chime, Oura Health, 1-800-FLOWERS.COM, 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.