Coinbase
Coinbase
„Coinbase“ valdo kriptovaliutų platformą, kurioje privatūs asmenys ir institucijos gali pirkti, parduoti ir prekiauti skaitmeniniu turtu, įskaitant bitkoinus ir eterius. Jos paslaugos apima pažangius prekybos įrankius, instituciniams klientams skirtas paslaugas, savarankiškai valdomą piniginę, steikingo ir atlygių funkcijas, kriptovaliutoms leisti skirtas mokėjimo korteles bei kūrėjams skirtas API, skirtas onchain programėlėms kurti. Įmonė dirba kriptovaliutų ir finansų srityse, daugiausia dėmesio skirdama saugiai prieigai prie besivystančios skaitmeninio turto ekonomikos.

Senior Machine Learning Engineer, Customer Experience

Build Coinbase’s multi-agent customer support platform, developing LLM-powered chat, agent assistance, and secure automation for Help Center and customer experience teams.

Aprašymas

  • Connect Coinbase’s Help Center, chatbots, and agent workflows with AI-powered systems.
  • Design and deploy a scalable multi-agent framework for agent assistance, internal procedures, and secure LLM actions.
  • Lead complex machine learning initiatives from initial design through production release.
  • Set priorities, weigh technical trade-offs, and coordinate cross-functional dependencies.
  • Develop and improve AI-powered concierge chat and agent copilot experiences.
  • Increase automated resolution rates while shortening case handling times.
  • Create systems to identify and manage malicious actors and adversarial inputs.
  • Set standards for system architecture, code quality, and machine learning and AI evaluation.
  • Guide colleagues on architecture decisions and current machine learning development practices.
  • Work with Conversation Design, Customer Experience, and Engineering to deliver secure, compliant, scalable AI support.

Reikalavimai

  • At least five years of professional experience in machine learning and software engineering.
  • Demonstrated success delivering production-grade machine learning services at scale.
  • Practical expertise with large language models, deep learning, and generative AI tools or platforms such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
  • Ability to build multi-agent systems or LLM orchestration workflows.
  • Proficiency in Python.
  • Deep expertise in at least one area: natural language processing, information retrieval, conversational AI, or advanced statistical modeling.
  • Ability to quickly learn related technical areas.
  • Ability to write technical design documents.
  • Ability to explain complex machine learning concepts clearly to non-technical stakeholders.
  • Responsible use of generative AI tools and copilots such as LibreChat, Gemini, or Glean.
  • Ability to apply human-in-the-loop practices and produce business-ready results.

Privalumai

  • Eligible for equity.
  • Eligible for bonuses.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) plan.
  • Quarterly in-person work sessions, called “surges.”
  • Reasonable accommodations for people with disabilities.
  • Free compatible screen reader available to applicants who need screen-reading technology.

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