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Staff Machine Learning Engineer

2 weeks, 3 days ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Airflow Apache Spark AWS Azure Dagster Docker Flink GCP Generative AI Kafka Kubernetes Machine Learning Microservices MLflow MLOps Pulumi Python SageMaker Snowflake SQL Terraform Vertex AI
Apply Now
Twilio

Twilio

Twilio is a cloud communication company that offers Communication APIs for SMS, Voice, Video, and Authentication, empowering developers to embed communication capabilities into their software applications globally.

Diversified Telecommunication Services
5K-10K
Founded 2008
View All Jobs 149

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 tools.
  • Integrate event streams from Twilio products 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 using CI/CD, infrastructure-as-code, and container orchestration best practices.
  • Produce documentation, dashboards, and runbooks, and share knowledge through code reviews and brown-bag sessions.
  • Take ownership of problems and drive them to completion as part of Twilio’s Builder culture.

Requirements

  • B.S. in Computer Science, Data Engineering, Electrical Engineering, Mathematics, or a related field, or equivalent practical experience.
  • 4-8 years of experience building and operating data or ML systems in production.
  • Proficiency in Python and SQL, with strong software engineering fundamentals including testing, version control, and code reviews.
  • Hands-on experience with ETL/ELT orchestration tools such as Airflow or Dagster and cloud data warehouses such as 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 such as AWS, GCP, or Azure.
  • Understanding of data modeling, distributed computing concepts, and streaming frameworks such as Spark, Flink, or Kafka Streams.
  • Strong analytical thinking, communication skills, ownership, curiosity, and continuous learning.
  • Experience with Twilio Segment, Kafka/Kinesis, or other high-throughput event buses is preferred.
  • Exposure to infrastructure-as-code tools such as Terraform or Pulumi and GitHub-based CI/CD pipelines is preferred.
  • Practical knowledge of generative AI workflows, foundation-model fine-tuning, or vector databases is preferred.
  • Contributions to open-source data/ML projects or published technical presentations/blogs are preferred.
  • Domain experience in communications, marketing automation, or customer engagement analytics is preferred.

Benefits

  • Competitive pay with location-based salary ranges from $188,240 to $276,700.
  • Eligibility for Twilio’s equity plan and corporate bonus plan.
  • Healthcare coverage and health care insurance.
  • 401(k) retirement savings program.
  • Paid sick time, paid personal time off, and generous time off.
  • Paid parental leave and ample parental and wellness leave.
  • Remote work with occasional travel for team or project meetings.
  • Volunteer and donation support through Twilio’s community impact programs.

Interested in this position?

Apply directly on the company website

Apply Now

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