Machine Learning Engineer • Staff

Who you are

You have a strong background in machine learning engineering, with a proven track record of designing and deploying machine learning systems that operate at a global scale. Your experience includes working closely with product and engineering teams to understand customer needs and translate them into effective data products. You are a collaborative team player who thrives in a remote-first environment, and you embody a growth mindset that drives you to continuously learn and adapt.

You possess deep expertise in machine learning frameworks such as TensorFlow and Keras, and you are proficient in programming languages like Python. Your experience includes building data pipelines and ensuring data quality, which are critical for the success of machine learning initiatives. You are comfortable working with large datasets and have a solid understanding of data engineering principles.

You are a self-starter who takes ownership of your projects and is committed to delivering high-quality results. You understand the importance of effective communication and collaboration in a remote setting, and you are skilled at building relationships with cross-functional teams. You are passionate about leveraging AI technologies to create innovative solutions that enhance customer experiences.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with MLOps practices. You may also have experience in deploying machine learning models in production environments and optimizing them for performance and scalability.

What you'll do

In this role, you will be responsible for scoping, designing, and deploying machine learning systems that meet the needs of Twilio's customers. You will partner closely with product and engineering teams to execute the roadmap for Twilio's AI/ML products and services. Your work will involve understanding customer requirements and translating them into actionable data products that can be deployed at scale.

You will own the end-to-end execution of large-scale machine learning solutions, which includes everything from data collection and preprocessing to model training and deployment. You will be expected to implement best practices in machine learning and data engineering, ensuring that the solutions you build are robust, efficient, and maintainable.

Collaboration will be key in this role, as you will work with various stakeholders to align on project goals and deliverables. You will also be responsible for communicating your findings and insights to both technical and non-technical audiences, helping to drive data-informed decision-making across the organization.

What we offer

Twilio offers a remote-first work environment that fosters a culture of connection and inclusion. You will be part of a vibrant team that values diverse experiences and perspectives. Twilio is committed to providing opportunities for professional growth and development, ensuring that you have the resources you need to succeed in your career.

In addition to a competitive salary, Twilio provides a comprehensive benefits package that supports your well-being and work-life balance. You will have the opportunity to work on innovative projects that have a global impact, making a difference in how businesses communicate with their customers.

Join Twilio and be part of a team that is shaping the future of communications through cutting-edge AI and machine learning technologies.