See yourself at Twilio

Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio's Go-to-Market (GTM) Data Engineering team.

About the job

The GTM Data Engineering team at Twilio supports stakeholders ranging from Sales Systems to Marketing. Our team provides a robust data foundation that allows business partners to build out sophisticated automations that power their verticals. We are looking for a Staff Machine Learning Engineer with strong data engineering and software development skills to help us scale out our ML + AI infrastructure and better support these stakeholders.

You will partner with business stakeholders across the organization to identify pain points, gather requirements, and extract value out of our data. You will work with data scientists to design and build performant infrastructure to manage and leverage large-scale datasets for our machine learning workloads.

You will also help optimize the design of our data warehouse as well as help teams build data-driven processes and automation on top of it.

Responsibilities

In this role, you’ll:

Collaborate with other engineers, business partners, and data scientists to build best-in-class data infrastructure that meets evolving needs. Design and optimize infrastructure for managing ML workflows at scale. Design high-performance systems to ensure fast and efficient AI agent serving. Design and manage reverse ETL pipelines to power sales operations and marketing automation.  Improve internal tooling and developer experience for our data scientists. Develop and maintain our data warehouse (Snowflake) to enable efficient and accurate usage of data. Document data pipelines, data models, and data transformation processes. Participate in our team’s on call rotation to ensure the availability of our broader data engineering services.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

5+ years of experience in developing ML platforms and/or data engineering. Proven track record of delivering large-scale data projects and working with business partners. Strong understanding of infrastructure components of large-scale ML and AI applications. Experience with big data processing frameworks such as Spark, Flink, or Ray. Experience with data orchestration tools like Airflow or Dagster. Experience with infrastructure-as-code tools (e.g., Terraform) and modern CI/CD pipelines.

Desired:

Experience on building large scale distributed systems in AWS or a similar cloud provider. Experience with Python, Go, or/and Java. Experience with streaming technology stack, such as Kafka or Kinesis is a huge plus.

Location

This role will be remote, and based in Ontario.

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. 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. Offerings vary by location.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.