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Staff Machine Learning Engineer (L4)

Twilio ·
81
AI-Agency
B85 U75
📍 US 🌐 Remote-only Staff 5+ yrs
PythonSQLRAWSSageMakerLambdaS3KendraMySQLPandasNumPySciKit-Learn
TL;DR

Staff Machine Learning Engineer at Twilio building supervised ML propensity models and GenAI/LLM applications for enterprise AI-powered customer support and business automation across GTM and internal functions.

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Job description

Who we are 

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 dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!

.

See yourself at Twilio

Join the team as our next Staff Software Engineer in the Enterprise AI Engineering team.

About the job

Twilio is undergoing a major business transformation powered by Enterprise AI, supported by a dedicated engineering team building the foundations for a unified, secure, and scalable operating system across GTM functions (Sales, Support, Operations, etc.) as well as Internal non-GTM functions (Finance, HR, Legal, etc.) Our platform is designed to support a multitude of business functions by deploying intelligent agentic solutions that automate complex workflows and deliver unprecedented user experiences. We're building the future of work at Twilio, and this role offers the opportunity to be at the forefront of enterprise AI innovation. This role focuses specifically on transforming how Twilio's Customer Support organization operates through AI-powered tools and agentic products.

As a Staff Machine Learning Engineer within Enterprise AI Engineering, you will be instrumental in developing supervised machine learning (ML) propensity models as well as state-of-the-art GenAI/LLM-powered applications. Your solutions will cater to the dynamic needs of Twilio’s diverse verticals and our extensive customer base. This role offers an exciting opportunity to harness the power of advanced machine learning technologies to drive innovation and efficiency.

As a member of this team, you will have the opportunity to work on groundbreaking projects that directly impact the efficiency and success of our customers. You will collaborate with talented professionals who are as driven and enthusiastic about AI and Machine Learning as you are. Your contributions will be crucial in shaping the future of AI at Twilio, and you will have the support and resources needed to innovate and excel.

Responsibilities

In this role, you’ll:

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:

Desired:

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

The estimated pay ranges for this role are as follows:

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

Application deadline information 

Applications for this role are intended to be accepted until April 30th, 2026 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.

Apply at Twilio →

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