Machine Learning Engineer, L3
Twilio
full-time
Posted on:
Location Type: Remote
Location: India
Visit company websiteExplore more
Tech Stack
About the role
- 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.
- 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.
Requirements
- 4+ years applied ML or AI experience.
- Proficiency in Python programming language.
- Proven ability to move from a research hypothesis to a working MVP in days to validate ideas quickly.
- Strong understanding of embedding models and vector stores.
- Experience and understanding of ML Ops and LLM Ops concepts and patterns.
- Ability to design and implement rigorous evaluation metrics to measure the success of non-deterministic AI features.
- Experience in building cloud-based services using AWS, GCP, or Azure.
- Experience working with high-volume data and familiarity with different data stores.
Benefits
- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- Retirement savings program
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonML OpsLLM Opsembedding modelsvector storesevaluation metricscloud-based servicesAWSGCPAzure
Soft Skills
rapid learningproactive integrationdesign thinkingexperiment executionresearch hypothesis validation