Research Engineer

Decagon
San Francisco
Workplace: OnsiteFull timeUSD 200,000 - 400,000 annuallyFunction: Research & Scientific (R&D)Experience: 2+ yearsSkills: []

Build production-ready conversational AI models that power Decagon’s customer-support agents, taking ideas from prototype to reliable impact. Own multi-quarter research and engineering initiatives across training, evaluation, and orchestration—improving instruction following, retrieval, memory, and long-horizon task completion. Collaborate with platform and product engineers to integrate new models into production systems, while iterating end-to-end pipelines to optimize quality, efficiency, and user experience.

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FursaFursa
Decagon
Decagon
1 month ago

Research Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build production-ready conversational AI models that power Decagon’s customer-support agents, taking ideas from prototype to reliable impact. Own multi-quarter research and engineering initiatives across training, evaluation, and orchestration—improving instruction following, retrieval, memory, and long-horizon task completion. Collaborate with platform and product engineers to integrate new models into production systems, while iterating end-to-end pipelines to optimize quality, efficiency, and user experience.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Lead research and engineering 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 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.

Pay and Benefits

Salary: USD 200,000 - 400,000 annually
Perks:Paid LeaveHealth InsuranceDentalVisionLife Insurance401kParental LeaveFertility Benefits

Key Requirements

  • •2+ 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 for training, evaluation, and data pipelines.
  • •Experience improving reliability and measurability from prototype to production impact.
Experience:2+ yearsAI/MLLLMsConversational AI
Tech Stack:PythonLLMsMachine learningTrainingEvaluationData pipelines

Company Brief

Decagon
Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2023
Glassdoor
Glassdoor: 3.9
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