Principal Machine Learning & Data Engineer

Twilio; Canada; Remote; CAD 253,000 - 336,000; Full time

Job summary

A leading communications technology company is seeking an experienced Machine Learning & Data Engineer. The candidate will architect cloud-native ML platforms, implement MLOps best practices, and lead engineering initiatives. With a strong focus on remote work, this role requires a background in scalable data systems and machine learning, along with excellent communication skills. Join a diverse team dedicated to innovation and customer impact.

Benefits

Competitive pay

Generous time off

Healthcare benefits

Retirement savings program

Qualifications

• 7+ years building and operating production data or machine-learning systems at scale.
• Demonstrated success designing cloud-native architectures on AWS.
• Exceptional written and verbal communication skills.

Responsibilities

• Architect and evolve end-to-end ML and data platforms.
• Implement MLOps best practices for daily deployments.
• Lead cross-functional engineering efforts.

Skills

Fluent in Python

Expertise in distributed data frameworks (Spark/Flink)

Mastery of SQL/NoSQL stores

Experience with MLOps tooling like MLflow

Ability to lead technical projects

Education

Bachelor’s or higher in Computer Science, Engineering, Mathematics

Graduate degree focused on machine learning

Tools

AWS

Terraform

Kubernetes

Job description

Principal Machine Learning & Data Engineer

Remote - US

Overview

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions tohundreds 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 L5 Machine Learning & Data Engineer to lead the design, build, and operation of the internal ML-and-data platform that powers every customer interaction. You will architect cloud-native pipelines, model-serving infrastructure, and developer tooling that allow Twilio’s product teams to iterate rapidly and safely at scale, advancing our mission to unlock the imagination of builders.

About the job

Twilio’s next L5 Machine Learning & Data Engineer to lead the design, build, and operation of the internal ML-and-data platform that powers every customer interaction. You will architect cloud-native pipelines, model-serving infrastructure, and developer tooling that allow Twilio’s product teams to iterate rapidly and safely at scale, advancing our mission to unlock the imagination of builders.

Responsibilities

• Architect and evolve Twilio’s end-to-end ML and real-time data platforms for reliability, security, and cost efficiency.
• Design scalable feature stores, streaming and batch pipelines, and low-latency model-serving layers on AWS.
• Implement MLOps best practices—automated testing, CI/CD, monitoring, and rollback—for hundreds of daily deployments.
• Own system design reviews, threat modeling, and performance tuning for high-volume communications workloads.
• Lead cross-functional engineering efforts, breaking down complex initiatives into executable roadmaps.
• Mentor staff and senior engineers, raising the technical bar through code reviews and pair programming.
• Partner with Product, Security, and Compliance to meet stringent privacy and governance requirements (HIPAA, SOC 2, GDPR).
• Champion a culture of experimentation, data-driven decision-making, and continuous improvement.

Qualifications

*Required:

• Bachelor’s or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience.
• 7+ years building and operating production data or machine-learning systems at scale.
• Expert fluency in Python and one compiled language (Java, Scala, Go, or C++).
• Hands-on mastery of distributed data frameworks (Spark/Flink), SQL/NoSQL stores, and streaming platforms (Kafka/Kinesis).
• Demonstrated success designing cloud-native architectures on AWS, including Terraform-managed infrastructure.
• Deep knowledge of container orchestration (Kubernetes/EKS), service-mesh networking, and autoscaling strategies.
• Practical experience implementing MLOps tooling such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Strong grasp of model-lifecycle concerns—feature engineering, offline/online parity, A/B testing, drift detection, and retraining.
• Proven ability to lead technical projects end-to-end and influence without authority across multiple teams.
• Exceptional written and verbal communication skills, with a bias toward clarity and action.
• Graduate degree focused on machine learning, distributed systems, or applied statistics.
• Contributions to open-source ML or data infrastructure projects.
• Experience with privacy-enhancing technologies (differential privacy, homomorphic encryption) or on-device inference.
• Background in conversational AI, real-time communications, or large-language-model deployment at scale.
• Exposure to compliance-heavy environments (HIPAA, PCI-DSS) and secure multi-tenant design patterns.
• Published research, patents, or conference talks in ML systems or data engineering.

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. : $184,500 - $230,700.
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $195,300 - $244,200.
• Based in the San Francisco Bay area, California: $217,000 - $271,300.
• 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 19th September, 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. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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