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.
See yourself at Twilio
Join the team as Twilio’s next Machine Learning Engineer.
About the job
This position is needed to build intelligent systems that drive user acquisition, engagement, and retention at scale. You’ll work at the intersection of data science, engineering, and marketing, transforming insights into real-time decisions and personalized experiences across our growth engine.
As a Machine Learning Engineer within a Revenue and Growth Marketing department, you will lead develop and build data products and advanced machine learning models that support business growth. You will collaborate closely with cross-functional teams to drive business outcomes through data, contributing to strategic objectives.
Responsibilities
In this role, you’ll:
- Design, build, and deploy machine learning models that power growth initiatives, such as customer segmentation, churn prediction, personalization, campaign optimization, and recommendation systems.
- Collaborate with data scientists to translate prototypes into scalable solutions.
- Collaborate with analysts and product managers to turn business questions into measurable ML solutions.
- Evaluate and select appropriate algorithms and models for specific tasks, ensuring scalability and efficiency.
- Develop and maintain data pipelines for model training, validation, and deployment.
- Develop scalable data and ML pipelines using best-in-class tools and practices (e.g., Airflow, Spark, MLflow).
- Conduct model testing, versioning, and documentation to ensure reproducibility and maintainability.
- Integrate ML models into product and marketing systems via APIs or batch/streaming services.
- Monitor model performance in production and implement feedback loops for continuous learning.
- Contribute to experimentation frameworks (e.g., A/B testing infrastructure) to evaluate ML-driven features.
- Ensure best practices in model validation, testing, and performance evaluation.
- Continuously improve existing systems by integrating new data sources and ML techniques.
- Maintain documentation, testing, and governance around models and datasets to ensure reliability and transparency.
- Work closely with stakeholders across various departments (e.g., Marketing, Sales, Product, R&D) to understand business needs and translate them into data science and machine learning solutions.
- Communicate complex technical concepts to non-technical stakeholders clearly and effectively.
- Stay up-to-date with the latest trends and advancements in machine learning and AI, and integrate new techniques into the team’s workflow.
Qualifications
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:
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or related field.
- 2+ years of experience deploying ML models in production environments.
- Proficient in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, or LightGBM and tools for model deployment (e.g., MLflow, Kubernetes, Docker, Metaflow)..
- Experience with data pipeline tools (e.g., Airflow, dbt) and big data processing (e.g., Spark, Presto).
- Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Google Vertex AI).
- Proficient in programming languages such as Python, R, or Java.
- Solid understanding of statistical methods, machine learning algorithms, and deep learning techniques.
- Proven experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, GCP, Azure).
- Strong understanding of experimentation design and metrics relevant to growth (e.g., conversion rate, LTV).
- Comfortable working in a fast-paced, collaborative environment focused on measurable impact.
Desired:
- Experience with user behavior modeling, marketing attribution, or real-time decision systems.
- Understanding of MLOps practices, including CI/CD for ML, model monitoring, and retraining pipelines.
- Familiarity with communication channels and platforms (e.g., push, email, in-app messaging).
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.
