Machine Learning Engineer

Sendbird
Seoul
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving"]

Design and build the core intelligence layer of our AI agents, including retrieval systems, tool-calling pipelines, voice integrations, and agentic reasoning capabilities. Work at the intersection of applied research and production, leveraging AI tooling and Python to deploy scalable, production-grade features for enterprise CX and to automate pipelines across the development lifecycle.

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FursaFursa
Sendbird
Sendbird
9 months ago

Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design and build the core intelligence layer of our AI agents, including retrieval systems, tool-calling pipelines, voice integrations, and agentic reasoning capabilities. Work at the intersection of applied research and production, leveraging AI tooling and Python to deploy scalable, production-grade features for enterprise CX and to automate pipelines across the development lifecycle.
Location: Seoul
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and optimize the full backend pipeline for AI agents, including advanced RAG systems, function-calling tools, and core agentic capabilities.
  • •Lead the integration and evaluation of voice AI solutions, third-party APIs, self-hosted models, and fine-tuned alternatives with a focus on latency and quality.
  • •Prototype and implement new agent methodologies drawn from the latest LLM and agentic research, moving from experiment to production when results warrant it.
  • •Build and automate scalable Python services using agentic development tools, accelerating output and reducing manual overhead across the full development lifecycle.
  • •Connect tools, APIs, and automation platforms to build internal pipelines that save time for the broader engineering team.

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityHybridLearning BudgetLanguage LessonsParental LeaveSnack Bar

Key Requirements

  • •5 or more years of professional experience in machine learning, data science, or applied AI engineering
  • •Hands-on experience with AI agent frameworks such as LangChain or LlamaIndex, tool use, or advanced prompt engineering
  • •Working knowledge of voice AI technologies, including Speech-to-Text and Text-to-Speech, with the ability to evaluate solutions across quality, latency, and cost
  • •Fluency in Python with a track record of building and deploying production-grade services
  • •Experience building and deploying production-grade Python services and systems with a focus on latency, reliability, and scale
Experience:5+ yearsAIMachine learningApplied AI
Skills:CommunicationCollaborationProblem-solving
Languages:EnglishKorean
Tech Stack:PythonLangChainLlamaIndexSpeech-to-TextText-to-SpeechAWSGCPAzure

Company Brief

Sendbird
Provides a real-time messaging platform and APIs for in-app chat, voice, and video experiences, enabling businesses to integrate scalable communications into mobile and web applications across industries.
Industry: API Platforms
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Mateo, United States
Founded: 2013
WebsiteLinkedIn