Responsibilities In this role, you’ll: Build out new functionality within a fast moving product seeing rapid adoption. Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
Задачи:
— Build out new functionality within a fast moving product seeing rapid adoption.
— Take a nebulous idea, design a rigorous experiment, and execute it within weeks.
— Conduct deep-dive research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization.
— Build ML systems that hold up at Twilio scale.
— Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment.
— Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation.
Требования:
— 5+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design.
— Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action.
— Proficiency in Python programming language.
— Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores.
— Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores.
— Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs.
— Ability to raise the technical bar of a team through mentorship, design review, and standards, without formal management authority.
— Strong communication skills and highly effective collaborator who works well with teammates.
Желательно:
— Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency.
— Strong background in predictive modeling on user behavior, including experiment design and the causal or counterfactual methods needed when randomization is partial.
— Prior experience working in a globally distributed team.
Условия:
— Remote work based in India (Karnataka, Tamil Nadu, Telangana State, Maharashtra, New Delhi).
— Occasional travel may be required for project or team in-person meetings.
— Competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and more (offerings vary by location).
— Equal opportunity employer with inclusive policies.
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Из объявления
Travel We prioritize connection and opportunities to build relationships with our customers and each other. … For this role, you may be required to travel occasionally to participate in project or team in-person meetings.