Tech Stack
Responsibilities
- Architect, implement, and maintain scalable data pipelines and feature stores for batch and real-time workloads.
- Build reproducible ML training, evaluation, and inference workflows using modern orchestration and MLOps tooling.
- Integrate event streams from Twilio products (e.g., Messaging, Voice, Segment) into unified, analytics-ready datasets.
- Monitor, test, and improve data quality, model performance, latency, and cost.
- Partner with product, data science, and security teams to ship resilient, compliant services.
Soft Skills
Analytical ThinkingCommunication SkillsOwnershipCuriosityContinuous Learning
Benefits
- Health Insurance
- 401k
- Parental Leave
- Mental Health
- Flexible PTO
Culture
Remote WorkMission-DrivenCross-Functional TeamsMentorship ProgramInclusive Hiring
Requirements
Required: B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or related field—or equivalent practical experience.
Regions: Us
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About Twilio
Industry: communications
Size: enterprise
Twilio is a company that enables businesses and developers to build personalized customer experiences and communication solutions, focusing on innovative, cloud-native data and ML infrastructure.
View company profile →Compensation
Base salary: $138,700 – $203,900 USD
Equity: eligible to participate in Twilio’s equity plan
Bonus: corporate bonus plan
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