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Twilio
Twilio
5.001 – 10.000 Angajați
Sponsor pentru viza H1BAPIB2B
Twilio oferă infrastructură de comunicații în cloud, care îi ajută pe dezvoltatori și companii să creeze funcționalități de interacțiune cu clienții direct în aplicațiile lor. API-urile sale acceptă apeluri vocale, mesaje text, chat, video și e-mail, oferind organizațiilor acces la mai multe canale de comunicare prin software, în locul unor sisteme separate. Fondată în 2008, Twilio activează în sectoarele API și tehnologie B2B și are o prezență globală, cu aproximativ 5.001–10.000 de angajați. Profilul de carieră al companiei este relevant pentru candidații interesați de platforme pentru dezvoltatori, tehnologie de comunicații și software pentru întreprinderi.
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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.

INIndiaRemoteNormă întreagăLiderLimbă Obligatorie: englezăInginer de învățare automată
AWSAzureCloudGoogle Cloud PlatformPython

Descriere

  • 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.

Cerințe

  • 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.

Beneficii

  • 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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