Senior Research Engineer

Decagon
San Francisco
Workplace: OnsiteFull timeUSD 300,000 - 400,000 annuallyFunction: Research & Scientific (R&D)Experience: 5+ yearsSkills: ["Communication","Problem-solving","Ownership"]

Lead research and engineering efforts to build industry-leading conversational AI models, taking ideas from concept to production. Own multi-quarter initiatives to improve reliability, capability, and efficiency of the agent, collaborating with platform and product engineers to deploy models in production and advance end-to-end pipelines.

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FursaFursa
Decagon
Decagon
1 year ago

Senior Research Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead research and engineering efforts to build industry-leading conversational AI models, taking ideas from concept to production. Own multi-quarter initiatives to improve reliability, capability, and efficiency of the agent, collaborating with platform and product engineers to deploy models in production and advance end-to-end pipelines.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Manager level

Key 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
  • •Design and implement frontier approaches for training, evaluation, and orchestration across the system

Pay and Benefits

Salary: USD 300,000 - 400,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionPaid Leave

Key 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 ML tooling (training, evaluation, data pipelines).
  • •Track record of taking research ideas from prototype → reliable, measurable production impact
  • •Strong ability to break down ambiguous research ideas into clear milestones and roadmaps.
Experience:5+ yearsAI/MLConversational AIEnterprise software
Skills:CommunicationProblem-solvingOwnership
Languages:English
Tech Stack:PythonLLMsMachine learningPromptingModel trainingData 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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