[Hiring] Staff Machine Learning Engineer @Twilio

Role Description

This position is needed to scope, design, and deploy machine learning systems into the real world. The individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers' needs, build data products that work at a global scale, and own end-to-end execution of large scale ML solutions.

To thrive in this role, you must have a deep background in ML engineering and a consistent track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across organizations.

Responsibilities

• Build and maintain scalable machine learning solutions in production.
• Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness.
• Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems.
• Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed.
• Work closely with data platform teams to build robust scalable batch and real-time data pipelines.
• Collaborate with software engineers, build tools to enhance productivity and to ship and maintain ML models.
• Drive high engineering standards on the team through mentoring and knowledge sharing.
• Uphold engineering best practices around code reviews, automated testing, and monitoring.

Qualifications

• 7+ years of applied ML experience with proficiency in Python.
• Strong background in the foundations of Machine Learning and building blocks of modern Deep Learning.
• Track record of building, shipping, and maintaining Machine Learning models in production in an ambiguous and fast-paced environment.
• Track record of designing and architecting large scale experiments and analysis to inform product roadmap.
• Clear understanding of frameworks like PyTorch, TensorFlow, or Keras, and why and how these frameworks do what they do.
• Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring.
• Demonstrated ability to ramp up, understand, and operate effectively in new application/business domains.
• Experience with modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) and demonstrated experience designing and coding in big-data components such as DynamoDB or similar.
• Experience working in an agile team environment with changing priorities.
• Experience of working on AWS.

Desired

• Experience with Large Language Models.

Location

This role will be remote and based in India.

Travel

For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

Benefits

• Competitive pay.
• Generous time off.
• Ample parental and wellness leave.
• Healthcare.
• A retirement savings program.
• And much more (offerings vary by location).