About the job
As a Staff Voice Research Engineer, you’ll lead the development of the models and algorithms that power Decagon’s industry-leading, real-time voice agents, and drive them all the way into production. You’ll own multi-quarter initiatives that advance speech understanding, naturalness, turn-taking, and resilience in real-world conditions. You’ll design and implement frontier approaches for training, evaluation, and orchestration across the voice agent.
Responsibilities
- 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
Qualifications
Minimum
- 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
Preferred
No preferred qualifications listed.