Description
At Twilio, we're shaping the future of communications, all from the comfort of our homes.
As a Machine Learning Engineer III in Twilio's Customer Memory Team, you will build the foundational AI/ML capabilities that power intelligent engagement experiences for Twilio customers.
Responsibilities:
- 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.
Qualifications:
- 5+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end.
- 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.
- Strong communication skills and highly effective collaborator who works well with teammates.
Location: Remote - India (Karnataka, Tamil Nadu, Telangana State, Maharashtra, and New Delhi).
What We Offer: Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/twilio/jobs/8258587