Staff Machine Learning Engineer

Twilio; Myrtle Point (OR); Remote; USD 152,000 - 191,000; Full time

Job summary

A leading communication platform is seeking a Staff Machine Learning Engineer to join their GTM Data Engineering team. This remote role focuses on building advanced data infrastructure to support ML workloads and enhances business operations. Ideal candidates have over 5 years of experience in ML platforms and data engineering skills. Offers a range of benefits including competitive compensation and opportunities for travel.

Benefits

Competitive pay

Generous time off

Healthcare benefits

Retirement savings program

Qualifications

• 5+ years of experience in developing ML platforms and/or data engineering.
• Proven track record of delivering large-scale data projects.
• Strong understanding of infrastructure components for ML and AI applications.

Responsibilities

• Collaborate with engineers, business partners, and data scientists to build data infrastructure.
• Design high-performance systems for AI agent serving.
• Develop and maintain the data warehouse (Snowflake).

Skills

ML platform development

Data engineering

Big data processing frameworks (Spark, Flink, Ray)

Data orchestration tools (Airflow, Dagster)

Infrastructure-as-code tools (Terraform)

Tools

AWS

Python

Java

Kafka

Kinesis

Job description

Overview

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

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. Our remote-first culture means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. Your career at Twilio is in your hands.

About the job

This position supports the GTM Data Engineering team, which serves stakeholders from Sales Systems to Marketing. Our team provides a robust data foundation that enables business partners to build sophisticated automations powering their verticals. We are looking for a Staff Machine Learning Engineer with strong data engineering and software development skills to scale our ML + AI infrastructure and better support these stakeholders. You will partner with business stakeholders to identify pain points, gather requirements, and extract value from our data. You will work with data scientists to design and build performant infrastructure to manage and leverage large-scale datasets for machine learning workloads. You will also help optimize the design of our data warehouse and help teams build data-driven processes and automation on top of it.

Responsibilities

• 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

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to 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 building large-scale distributed systems in AWS or a similar cloud provider.
• Experience with Python, Go, or/and Java.
• Experience with streaming technology stacks such as Kafka or Kinesis is a huge plus.

Location

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

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.

Compensation

*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only.

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $152,500.00 - $190,600.00
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $161,500.00 - $201,800.00
• Based in the San Francisco Bay area, California: $179,400.00 - $224,200.00
• This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

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

Applications for this role are intended to be accepted until October 17, 2025, but may change based on business needs.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That’s why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you’re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn’t what you’re looking for, please consider other open positions.

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.