Staff Machine Learning Engineer

🕒 April 21

🏄 California, Connecticut, +4 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote ☕ Washington – Remote

💵 $188.2k - $276.7k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience.Twilio has democratized communications channels like voice, text, chat, video, and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications.By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.Founded in 2008, Twilio has over 5,000 employees in 26 offices in 17 countries and counting, with headquarters in San Francisco and other offices in Atlanta, Bangalore, Berlin, Bogotá, Denver, Dublin, Paris, Prague, Hong Kong, Irvine, London, Madrid, Munich, Malmö, Mountain View, Redwood City, New York City, São Paulo, Sydney, Melbourne, Singapore, Tallinn, and Tokyo.

📋 Description

• 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. • Produce clear documentation, dashboards, and runbooks; share knowledge through code reviews and brown-bag sessions. • Embrace Twilio’s “We are Builders” values by taking ownership of problems and driving them to completion.

🎯 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). • Understanding of data modeling, distributed computing concepts, and streaming frameworks (Spark, Flink, or Kafka Streams). • Strong analytical thinking, communication skills, and a demonstrated sense of ownership, curiosity, and continuous learning.

🏖️ Benefits

• Health care insurance • 401(k) retirement account • Paid sick time • Paid personal time off • Paid parental leave • Generous time off • Ample parental and wellness leave • Competitive pay