Twilio
Twilio
5 001 – 10 000 Xodimlar
H1B vizasi homiysiAPIB2B
Twilio dasturchilar va bizneslarga mijozlar bilan aloqaga oid funksiyalarni bevosita o‘z ilovalariga integratsiya qilishga yordam beradigan bulutli kommunikatsiya infratuzilmasini taqdim etadi. Uning API'lari ovozli aloqa, matnli xabarlar, chat, video va elektron pochtani qo‘llab-quvvatlaydi. Shu tariqa tashkilotlar alohida tizimlar o‘rniga dasturiy ta’minot orqali bir nechta aloqa kanallaridan foydalanishi mumkin. 2008-yilda tashkil etilgan Twilio API va B2B texnologiyalari sohalarida faoliyat yuritadi hamda taxminan 5 001–10 000 nafar xodimga ega global kompaniyadir. Kompaniyaning karyera profili dasturchilar platformalari, kommunikatsiya texnologiyalari va korporativ dasturiy ta’minotga qiziqadigan nomzodlar uchun mos keladi.

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.

Tavsif

  • 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.

Talablar

  • 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.

Imtiyozlar

  • 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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