[Remote] Principal Machine Learning & Data Engineer
Note: The job is a remote job and is open to candidates in USA. Twilio is a company shaping the future of communications with innovative solutions. They are seeking a Principal Machine Learning & Data Engineer to lead the design and operation of their internal ML-and-data platform, ensuring reliability and efficiency while mentoring engineering staff.
Responsibilities
- Architect and evolve Twilio’s end-to-end ML and real-time data platforms for reliability, security, and cost efficiency
- Design scalable feature stores, streaming and batch pipelines, and low-latency model-serving layers on AWS
- Implement MLOps best practices—automated testing, CI/CD, monitoring, and rollback—for hundreds of daily deployments
- Own system design reviews, threat modeling, and performance tuning for high-volume communications workloads
- Lead cross-functional engineering efforts, breaking down complex initiatives into executable roadmaps
- Mentor staff and senior engineers, raising the technical bar through code reviews and pair programming
- Partner with Product, Security, and Compliance to meet stringent privacy and governance requirements (HIPAA, SOC 2, GDPR)
- Champion a culture of experimentation, data-driven decision-making, and continuous improvement
Skills
- Bachelor's or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience
- 7+ years building and operating production data or machine-learning systems at scale
- Expert fluency in Python and one compiled language (Java, Scala, Go, or C++)
- Hands-on mastery of distributed data frameworks (Spark/Flink), SQL/NoSQL stores, and streaming platforms (Kafka/Kinesis)
- Demonstrated success designing cloud-native architectures on AWS, including Terraform-managed infrastructure
- Deep knowledge of container orchestration (Kubernetes/EKS), service-mesh networking, and autoscaling strategies
- Practical experience implementing MLOps tooling such as MLflow, Kubeflow, SageMaker, or Vertex AI
- Strong grasp of model-lifecycle concerns—feature engineering, offline/online parity, A/B testing, drift detection, and retraining
- Proven ability to lead technical projects end-to-end and influence without authority across multiple teams
- Exceptional written and verbal communication skills, with a bias toward clarity and action
- Graduate degree focused on machine learning, distributed systems, or applied statistics
- Contributions to open-source ML or data infrastructure projects
- Experience with privacy-enhancing technologies (differential privacy, homomorphic encryption) or on-device inference
- Background in conversational AI, real-time communications, or large-language-model deployment at scale
- Exposure to compliance-heavy environments (HIPAA, PCI-DSS) and secure multi-tenant design patterns
- Published research, patents, or conference talks in ML systems or data engineering
Benefits
- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- A retirement savings program
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan.
- All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
- Twilio empowers employees to build positive change in their communities by supporting their volunteering and donation efforts.
Company Overview
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