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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in building and deploying production-grade ML/AI systems, with a strong focus on LLM orchestration and cloud-based services. Proven ability to lead rapid research cycles and mentor teams in a fast-paced, high-delivery environment.
Highest-signal resume keywords
10+ Years Applied ML/AI ExperienceProficiency In Python Programming LanguageDeep Expertise In ML/AI System DesignExperience Building Cloud-Based ServicesStrong Communication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ML/AI System DesignStatistical Machine Learning AlgorithmsTransformer ModelsLLM OrchestrationEmbedding ModelsVector Stores
Soft Skills
Effective CollaborationMentorship
Tools & Technologies
AWSGCPAzure
Industry Keywords
Intelligent Engagement ExperiencesData-Driven PersonalizationReal-Time InferenceHigh-Volume Data
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 fast-moving, rapidly adopted product
- Turn nebulous ideas into rigorous experiments and execute them within weeks
- Conduct deep-dive 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- 10+ 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
- Experience in building cloud-based services using AWS, GCP, or Azure
- Strong communication skills and highly effective collaborator who works well with teammates
Benefits
Comp & perks- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- Retirement savings program
- Volunteering and donation support