Decagon

1 day ago

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

Build and iterate conversational AI models that power agent experiences end-to-end, from research ideas to production deployments. Own multi-quarter initiatives improving reliability, capability, and efficiency, with a focus on instruction following, retrieval, memory, and long-horizon task completion. Develop and optimize training, evaluation, and orchestration pipelines, and partner with platform/product engineers to integrate new models into production systems.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Lead research and engineering efforts to improve 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.
•Design and implement frontier approaches for training, evaluation, and orchestration across the system.
•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

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementParental Leave

Key Requirements

•2+ years of experience in AI/ML engineering or research.
•Experience post-training and deploying LLMs in production environments.
•Fluency in Python and modern ML tooling for training, evaluation, and data pipelines.
•Track record of moving research prototypes to reliable, measurable production impact.

Experience:2+ yearsAI/ML

Tech Stack:PythonLLMs

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

1 day ago

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)

Seniority: Mid level

Key Responsibilities

•Lead research and engineering efforts to improve 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.
•Design and implement frontier approaches for training, evaluation, and orchestration across the system.
•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

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceDisability BenefitsRetirementParental Leave

Key Requirements

•2+ years of experience in AI/ML engineering or research.
•Experience post-training and deploying LLMs in production environments.
•Fluency in Python and modern ML tooling for training, evaluation, and data pipelines.
•Track record of moving research prototypes to reliable, measurable production impact.

Experience:2+ yearsAI/ML

Tech Stack:PythonLLMs

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