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 AI and Machine Learning Architect.
About the job
This position is needed to provide technical leadership and architectural guidance to the AI/ML team resident in India. This team is responsible for implementing customer facing capabilities and internal systems that use machine learning to generate revenue and protect the service. The existing team has driven material outcomes for the firm, and we are looking to deepen that investment.
In addition to technical responsibilities, this role will be responsible for charting the future of Twilio’s global machine learning teams and infrastructure. A successful candidate will serve as a center of knowledge for teams across the company, and have exposure to a wide range of ongoing use-cases and projects.
Responsibilities
In this role, you’ll:
● ML Strategy Development: Craft and execute a comprehensive strategy for machine learning initiatives that align with Twilio’s overall objectives.
● Architecture & Design: Lead the design of scalable, efficient ML systems that integrate seamlessly with Twilio’s communication platform.
● Cross-Functional Collaboration: Partner with teams across data engineering, software development, and product management to incorporate ML models into existing services.
● Innovation & Leadership: Drive innovation by exploring new technologies and methodologies, setting best practices for the company.
● Model Lifecycle Management: Oversee the end-to-end lifecycle of ML models, including development, deployment, monitoring, and refinement.
● Mentorship & Training: Provide guidance and mentorship to junior team members, fostering a culture of learning and growth.
● Quality Assurance: Ensure the reliability and accuracy of ML models through rigorous testing and validation processes.
● Begin each bullet with an action-oriented verb: (generate, identify, perform, cultivate, etc.)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:
● Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
● Experience: Minimum of 7 years in machine learning, with at least 3 years in a leadership or architect role.
● Technical Proficiency: Strong skills in Python, and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Cloud Services: Deep understanding of cloud platforms such as AWS, GCP, or Azure, especially in deploying and scaling ML models.
● Modern ML Platforms: Proficient in the design and implementation of ML supporting infrastructure for training, serving, and monitoring applications.
● Analytical Skills: Proven ability to solve complex problems and develop data-driven solutions.
● Communication: Excellent verbal and written communication skills to articulate complex concepts to diverse audiences.
● Team Collaboration: Experience working collaboratively within a dynamic, fast-paced environment.
● Specify work schedule (if applicable), specify education, previous job experience, certifications, technical skills and soft skills required.
Desired:
● Advanced Degree: Ph.D. in a relevant field. Industry Experience: Experience in the telecommunications sector or related fields.
● Research Skills: Publications or research contributions in the field of machine learning or data science.
● Tool Familiarity: Experience with additional tools such as Docker, Kubernetes, and data processing frameworks like Apache Spark.
● Adaptability: Ability to quickly learn new technologies and apply them effectively.
● Visionary Thinking: Capacity to anticipate industry trends and contribute to strategic planning.
● Specify education, previous job experience, certifications, technical skills and soft skills required.
Location
This role will be remote and based in India.
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.
