Staff Machine Learning Engineer

Twilio; United States; On-site; USD 188,240 - 276,700; Full time

Benefits offered by this job

Competitive pay

Generous time off

Healthcare

401(k) retirement plan

Parental leave

Job summary

Twilio is seeking an L4 Machine Learning Engineer to join their Trust Intelligence Platform team. In this remote role, you will design and operate cloud-native data and ML infrastructure that drives real-time intelligence for Twilio's products. Responsibilities include developing scalable data pipelines, integrating event streams, and collaborating with teams to deliver compliant services. Ideal candidates have strong skills in Python, SQL, and data engineering along with 4-8 years of relevant experience. The position offers competitive compensation and extensive benefits.

Qualifications

• 4–8 years of experience building and operating data or ML systems in production.
• Hands-on experience with ETL/ELT orchestration tools.
• Experience with cloud data warehouses and Docker.

Responsibilities

• Architect, implement, and maintain scalable data pipelines.
• Build reproducible ML training and evaluation workflows.
• Integrate event streams into analytics-ready datasets.

Skills

Python

SQL

Data Engineering

ETL/ELT orchestration tools

Docker

Kubernetes

Cloud platforms (AWS, GCP, Azure)

Education

B.S. in Computer Science or related field

Tools

Airflow

Snowflake

Job description

About the job

Join Twilio's rapidly‑growing Trust Intelligence Platform team as an L4 Machine Learning Engineer. You will design, build, and operate the cloud‑native data and ML infrastructure that powers every customer interaction, enabling Twilio's product teams and customers to move from raw events to real‑time intelligence. This hands‑on, builder‑focused role offers clear technical ownership, mentoring, and growth inside a company defining the future of communications with AI.

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.
• 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.

Qualifications

Required:

• 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.

Desired:

• Experience with Twilio Segment, Kafka/Kinesis, or other high‑throughput event buses.
• Exposure to infrastructure‑as‑code (Terraform, Pulumi) and GitHub‑based CI/CD pipelines.
• Practical knowledge of generative AI workflows, foundation‑model fine‑tuning, or vector databases.
• Contributions to open‑source data/ML projects or published technical presentations/blogs.
• Domain experience in communications, marketing automation, or customer engagement analytics.

Location

This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA.

Travel

For this role, you may be required to travel occasionally to participate in project or team in‑person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more.

Compensation

• 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.

Equal Opportunity Employment

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E‑Verify program in certain locations, as required by law.