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.

Staff Machine Learning Engineer (India, Remote)

Lead the development of foundational AI and machine learning capabilities for Twilio’s customer communications platform. Work across LLMs, personalization, real-time inference, and large-scale ML systems.

Descriere

  • Develop core AI and machine learning capabilities for intelligent engagement experiences
  • Create product functionality in a rapidly evolving, widely adopted environment
  • Convert open-ended ideas into structured experiments and deliver results within weeks
  • Research advanced LLM orchestration, retrieval methods, and data-driven personalization
  • Engineer machine learning systems that operate at Twilio scale
  • Expand technical expertise while delivering in a fast-paced environment
  • Adopt modern AI development stacks to strengthen core product differentiation
  • Lead research initiatives focused on contextual intelligence and large-scale machine learning challenges

Cerințe

  • At least 8 years of applied machine learning or AI experience, including end-to-end ownership of technically ambitious systems
  • Ability to work from ambiguous requirements in zero-to-one environments with strong initiative
  • Proficiency in Python
  • Experience building cloud services on AWS, Google Cloud Platform, or Azure
  • Experience handling high-volume data, streaming or real-time inference, and varied data stores
  • Strong understanding of statistical machine learning, transformer architectures, and large language models
  • Ability to elevate engineering standards through mentorship, design reviews, and technical guidance without formal management authority
  • Clear communication and effective collaboration skills
  • Preferred: experience developing autonomous agents for multi-turn conversations and persistent context
  • Preferred: experience with user-behavior prediction, experiment design, and causal or counterfactual methods
  • Preferred: experience collaborating in globally distributed teams

Beneficii

  • Competitive compensation
  • Generous paid time off
  • Substantial parental leave
  • Wellness leave
  • Healthcare coverage
  • Retirement savings program
  • Support for volunteering and charitable donations
  • Remote-first working arrangement
  • Occasional travel for project or team meetings

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