Senior Finance Relationship Owner – EY
EYSupport EY’s global financial planning, budgeting and control operations. Advise senior leaders and oversee financial performance across global functions.
Open
Twilio provides cloud communications infrastructure that helps developers and businesses build customer engagement features directly into their applications. Its APIs support voice, text messaging, chat, video, and email, giving organizations access to multiple communication channels through software rather than separate systems. Founded in 2008, Twilio operates in the API and B2B technology sectors and has a global presence with a workforce of approximately 5,001–10,000 employees. The company’s careers profile is relevant to candidates interested in developer platforms, communications technology, and enterprise software.
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.
Description
- 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.
Requirements
- 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.
Benefits
- 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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