
Principal Machine Learning Engineer, L5
Posted 20 hours ago

Posted 20 hours ago
This is a fully remote position, open to applicants in India.
• Develop foundational AI/ML capabilities that enhance intelligent engagement experiences for Twilio clients.
• Create new functionalities within a dynamic and rapidly adopted product environment.
• Transform vague concepts into structured experiments and implement them within weeks.
• Conduct in-depth research into cutting-edge LLM orchestration, retrieval techniques, and data-driven personalization.
• Construct ML systems that operate at Twilio's scale.
• Quickly acquire technical skills and knowledge in a fast-paced, high-output setting.
• Utilize and integrate the latest AI development frameworks to emphasize core differentiation.
• Spearhead swift research cycles that tackle contextual intelligence and large-scale ML challenges.
• Over 10 years of applied ML/AI experience with a proven history of leading technically ambitious systems from inception to completion, rather than contributing to existing designs.
• Ability to thrive in a 0-to-1 environment with ambiguous requirements and a strong inclination for action.
• Proficient in the Python programming language.
• Experience in building cloud-based services on AWS, GCP, or Azure, dealing with high-volume data, streaming or real-time inference paths, and various data storage solutions.
• Extensive expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector databases.
• Strong understanding of statistical machine learning algorithms, transformer models, and LLMs.
• Capability to elevate the technical standards of a team through mentorship, design reviews, and setting standards, without formal management authority.
• Experience in constructing cloud-based services utilizing AWS, GCP, or Azure.
• Excellent communication skills and a highly effective collaborator who works well with colleagues.
• Competitive compensation.
• Generous paid time off.
• Extensive parental and wellness leave.
• Healthcare coverage.
• Retirement savings program.
• Support for volunteering and donations.
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