Staff Machine Learning Engineer
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
Offer value
High value due to significant impact on AI infrastructure and opportunity to work on large-scale projects.
- Engagement in transformative ML and AI projects
- Work with data scientists and engineers
- Flexible remote work tailored for performance and productivity
Pros
- Chance to engage in cutting-edge ML/AI projects
- Collaboration with business stakeholders for impactful outcomes
- Remote work model supporting diverse work styles
Cons
- High expectations for delivering large-scale projects
- Complexity in managing and optimizing ML workflows
- Role may come with demanding deadlines
Who it's for
Senior-level • Remote with dynamic collaboration
Good fit
- Experienced ML and data engineers looking for impact
- Technical candidates wanting to build innovative solutions
- Professionals keen on shaping AI capabilities
Not recommended for
- Newcomers without relevant ML experience
- Individuals uncomfortable with project complexity
- Candidates who prefer routine tasks without innovation
Motivation fit
Key skills
About the job
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.
See yourself at Twilio
Join the team as Twilio’s next Staff Data 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 software engineer with strong data engineering 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.
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.
