Twilio
Twilio
5 001 – 10 000 Қызметкерлер
H1B визасының демеушісіAPIB2B
Twilio әзірлеушілер мен компанияларға клиенттермен өзара әрекеттесу мүмкіндіктерін тікелей қолданбаларына енгізуге көмектесетін бұлтты коммуникация инфрақұрылымын ұсынады. Оның API интерфейстері дауыстық байланыс, мәтіндік хабар алмасу, чат, бейне және электрондық поштаны қолдайды, осылайша ұйымдар бөлек жүйелердің орнына бағдарламалық жасақтама арқылы бірнеше коммуникация арнасына қол жеткізе алады. 2008 жылы құрылған Twilio API және B2B технологиялар салаларында жұмыс істейді және шамамен 5 001–10 000 қызметкері бар жаһандық компания болып табылады. Компанияның мансап профилі әзірлеушілер платформаларына, коммуникация технологияларына және кәсіпорындарға арналған бағдарламалық жасақтамаға қызығушылық танытатын үміткерлерге арналған.

Principal Machine Learning Engineer (L5) – Twilio, India Remote

Lead advanced machine learning initiatives for Twilio’s customer communications platform in a remote India-based role. Drive LLM research, personalization, experimentation, and scalable AI/ML production systems.

Сипаттама

  • Develop foundational AI and machine learning capabilities for Twilio’s intelligent customer engagement experiences.
  • Deliver new functionality for a rapidly adopted, fast-moving product.
  • Convert ambiguous concepts into rigorous experiments and deliver results within weeks.
  • Research advanced LLM orchestration, retrieval methods, and data-driven personalization strategies.
  • Design and operate machine learning systems at Twilio’s scale.
  • Continuously build technical expertise while working in a high-velocity delivery environment.
  • Adopt and integrate modern AI development technologies to concentrate on differentiated capabilities.
  • Lead fast research cycles focused on contextual intelligence and large-scale machine learning challenges.

Талаптар

  • Bring 10+ years of applied machine learning or AI experience, with a record of owning technically ambitious systems from design through delivery.
  • Work effectively in zero-to-one environments with unclear requirements and a strong bias toward action.
  • Program proficiently in Python.
  • Build cloud services on AWS, Google Cloud, or Azure that handle high-volume data, streaming or real-time inference, and varied data stores.
  • Bring deep expertise in designing, architecting, and deploying production-ready ML/AI systems, including LLM orchestration, embedding models, and vector databases.
  • Demonstrate strong knowledge of statistical machine learning, transformer architectures, and large language models.
  • Elevate team engineering standards through mentorship, design reviews, and technical practices without relying on formal management authority.
  • Have experience developing cloud-based services with AWS, Google Cloud, or Azure.
  • Communicate clearly and collaborate effectively with teammates.

Артықшылықтар

  • Competitive compensation.
  • Generous paid time off.
  • Substantial parental and wellness leave.
  • Healthcare coverage.
  • Retirement savings program.
  • Support for volunteering and charitable donations.

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