Decagon

3 months ago

Staff Research Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Staff role responsible for building production-ready AI/ML models for Decagon’s conversational agents, leading multi-quarter research initiatives, and mentoring the team to improve reliability, capability, and efficiency of the agent stack.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

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
•Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering

Pay and Benefits

Salary: USD 325,000 - 425,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kParential Leave

Key Requirements

•8+ years of experience in AI/ML engineering or research
•Prior experience post-training and deploying large language models (LLMs) in production environments
•Fluency in Python and modern ML tooling (training, evaluation, data pipelines)
•Track record of taking research ideas from prototype to reliable, measurable production impact
•Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution

Experience:8+ yearsAIConversational AIEnterprise software

Skills:PythonMachine learningData pipelinesLLMsModel trainingEvaluationPrompting

Languages:English

Tech Stack:PythonLLMsML toolingData 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: 3.9

Website LinkedIn Glassdoor

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Decagon

3 months ago

Staff Research Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

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
•Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering

Pay and Benefits

Salary: USD 325,000 - 425,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kParential Leave

Key Requirements

•8+ years of experience in AI/ML engineering or research
•Prior experience post-training and deploying large language models (LLMs) in production environments
•Fluency in Python and modern ML tooling (training, evaluation, data pipelines)
•Track record of taking research ideas from prototype to reliable, measurable production impact
•Ability to define a roadmap, break ambiguity into milestones, and lead cross-functional execution

Experience:8+ yearsAIConversational AIEnterprise software

Skills:PythonMachine learningData pipelinesLLMsModel trainingEvaluationPrompting

Languages:English

Tech Stack:PythonLLMsML toolingData 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: 3.9

Website LinkedIn Glassdoor