Twilio

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design and deploy AI-powered features that extract meaning from voice and messaging data at Twilio scale. Collaborate with ML practitioners to ship end-to-end model pipelines, production inference, and monitoring. Contribute to planning, design reviews, and code quality while ensuring security, performance, and scalability of ML services.

Location: Spain

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
•Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions
•Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs
•Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
•Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback

Key Requirements

•Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience
•2+ years of experience in machine learning engineering or applied ML, with proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy
•Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure)
•Proficiency in Python (preferred) or similar OO language
•Experience utilizing Large (or Small) Language Models within software systems

Experience:2+ yearsAIMLNLPConversational AI

Education:Bachelor's

Skills:PythonNLPHugging FaceNLTKSpaCyPyTorchTensorFlowJAXModel versioningProduction inferenceCloud infrastructureAWSGCPAzure

Languages:English

Tech Stack:PythonPyTorchTensorFlowJAXHugging FaceNLTKSpaCyAWSGCPAzureML pipelinesProduction inference

Company Brief

Twilio

Provides cloud communications platforms and APIs enabling developers to add voice, messaging, video, and authentication features to applications. Serves enterprises and developers with programmable communications, engagement, and customer interaction tools.

Industry: API Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 4.0

Website LinkedIn

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Twilio

1 month ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Spain

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
•Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions
•Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs
•Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
•Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback

Key Requirements

•Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience
•2+ years of experience in machine learning engineering or applied ML, with proficiency in Python and at least one ML framework (PyTorch, TensorFlow, or JAX) and familiarity with NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy
•Experience developing, testing, and deploying small-to-medium scoped ML services or features in a collaborative engineering environment, including model versioning, experiment tracking, and cloud-based infrastructure (AWS, GCP, or Azure)
•Proficiency in Python (preferred) or similar OO language
•Experience utilizing Large (or Small) Language Models within software systems

Experience:2+ yearsAIMLNLPConversational AI

Education:Bachelor's

Skills:PythonNLPHugging FaceNLTKSpaCyPyTorchTensorFlowJAXModel versioningProduction inferenceCloud infrastructureAWSGCPAzure

Languages:English

Tech Stack:PythonPyTorchTensorFlowJAXHugging FaceNLTKSpaCyAWSGCPAzureML pipelinesProduction inference

Company Brief

Twilio

Industry: API Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 2008

Glassdoor: 4.0

Website LinkedIn