Staff Machine Learning Engineer
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
What this role actually needs.
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. 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. - Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices. Requirements: - B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or related field—or equivalent practical experience. - 4-8 years building and operating data or ML systems in production. - Proficient in Python and SQL; comfortable with software engineering fundamentals (testing, version control, code reviews). - Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Dagster) and cloud data warehouses (Snowflake, BigQuery, or Redshift). - Familiarity with ML lifecycle tooling such as MLflow, SageMaker, Vertex AI, or similar. - Working knowledge of Docker and Kubernetes and at least one major cloud platform (AWS, GCP, or Azure). Benefits: - Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $188,240 - 235,300. - Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $199,280 - 249,100. - Based in the San Francisco Bay area, California: $221,360 - 276,700. - This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. Company context: Twilio is the customer engagement platform for messaging, voice, video, and customer-data orchestration.
Day-to-day expectations
Twilio lists these responsibilities for the Staff Machine Learning Engineer role.
- 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.
- Automate deployment with CI/CD, infrastructure-as-code, and container orchestration best practices.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or related field—or equivalent practical experience.
- 4-8 years building and operating data or ML systems in production.
- Proficient in Python and SQL; comfortable with software engineering fundamentals (testing, version control, code reviews).
- Hands-on experience with ETL/ELT orchestration tools (e.g., Airflow, Dagster) and cloud data warehouses (Snowflake, BigQuery, or Redshift).
- Familiarity with ML lifecycle tooling such as MLflow, SageMaker, Vertex AI, or similar.
- Working knowledge of Docker and Kubernetes and at least one major cloud platform (AWS, GCP, or Azure).
Why people would want this job
Twilio published these compensation, benefits, or working-context details with the role.
- Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $188,240 - 235,300.
- Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $199,280 - 249,100.
- Based in the San Francisco Bay area, California: $221,360 - 276,700.
- This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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Source: job-boards.greenhouse.io · Source ID: 7061880 · Confidence: 90/100 · Last checked: May 7, 2026
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