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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in building and deploying production-grade ML/AI systems, with a strong focus on LLM orchestration and data-driven personalization. Proven ability to lead research cycles and mentor teams in a fast-paced, high-delivery environment.
Highest-signal resume keywords
Applied ML/AI ExperiencePython ProgrammingCloud-Based Services (AWS, GCP, Azure)Production-Grade ML/AI SystemsStatistical Machine Learning Algorithms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningArtificial IntelligenceLLM OrchestrationEmbedding ModelsVector StoresPredictive ModelingExperiment DesignCausal MethodsTransformer ModelsReal-Time Inference
Soft Skills
Strong Communication SkillsEffective CollaborationMentorship
Tools & Technologies
AWSGCPAzureData StoresStreaming Services
Industry Keywords
Contextual IntelligenceHigh-Volume DataAutonomous AgentsMulti-Turn ConversationsGlobally Distributed Team
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Build foundational AI/ML capabilities powering intelligent engagement experiences for Twilio customers
- Build new functionality within a rapidly adopted product
- Turn ambiguous ideas into rigorous experiments and execute them within weeks
- Conduct research into state-of-the-art LLM orchestration, retrieval strategies, and data-driven personalization
- Build ML systems operating at Twilio scale
- Rapidly acquire technical skills and knowledge in a fast-paced, high-delivery environment
- Leverage and integrate the latest AI development stacks to focus on core differentiation
- Lead rapid research cycles addressing contextual intelligence and large-scale ML problems
Requirements
What you’ll need- 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
- Experience with high-volume data, streaming or real-time inference paths, and a range of data stores
- Deep expertise in production-grade ML/AI systems, including LLM orchestration, embedding models, and vector stores
- Strong fundamentals of statistical machine learning algorithms, transformer models, and LLMs
- Ability to raise the technical bar through mentorship, design review, and standards without formal management authority
- Strong communication skills and effective collaboration
- Prior experience building autonomous agents handling multi-turn conversations and long-term context/consistency is desired
- Strong background in predictive modeling on user behavior, experiment design, and causal or counterfactual methods is desired
- Prior experience working in a globally distributed team is desired
Benefits
Comp & perks- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- Retirement savings program
- Remote-first work
- Support for employee volunteering and donation efforts