Machine Learning Engineer

Twilio
United States
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving","Mentoring","Presentation"]

Hands-on ML engineer responsible for designing, deploying, and maintaining scalable low-latency ML systems for real-time applications within Twilio’s Data & Observability Substrate. You’ll translate business problems into ML solutions, build end-to-end workflows, monitor performance and cost, and collaborate across Product, Data Science/ML, Engineering, Security, and UX to deliver resilient ML-powered services at a remote-first company.

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FursaFursa
Twilio
Twilio
4 months ago

Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Hands-on ML engineer responsible for designing, deploying, and maintaining scalable low-latency ML systems for real-time applications within Twilio’s Data & Observability Substrate. You’ll translate business problems into ML solutions, build end-to-end workflows, monitor performance and cost, and collaborate across Product, Data Science/ML, Engineering, Security, and UX to deliver resilient ML-powered services at a remote-first company.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with product, UX, and technical stakeholders to analyze business problems, clarify requirements, define scope, and translate them into measurable ML problem statements.
  • •Design, implement, and maintain scalable, enterprise-grade ML solutions in production.
  • •Build reproducible ML workflows for data preparation, training, evaluation, and inference using modern orchestration and MLOps tooling.
  • •Implement monitoring and evaluation frameworks to continuously improve data quality, model performance, latency, and cost through feedback loops.
  • •Partner cross-functionally with Product, Data Science/ML, Engineering, and Security to deliver resilient, scalable, and compliant ML-powered services.

Pay and Benefits

Perks:Health Insurance401kPaid LeaveParental LeaveWellness Stipend

Key Requirements

  • •Strong foundation in ML/AI (statistics, probability, optimization) with the ability to apply these concepts to real-world problems.
  • •5+ years of experience building, deploying, and operating data and ML systems in production.
  • •Proficient in Python, Java, and SQL; strong software engineering fundamentals (system design, testing, version control, code reviews).
  • •Hands-on experience with workflow orchestration and data pipelines (e.g., Airflow, Kubeflow) and cloud data platforms/storage (e.g., SageMaker Feature Store, Snowflake, DynamoDB, OpenSearch).
  • •Experience with the ML lifecycle and MLOps tooling (e.g., MLflow, Metaflow, SageMaker; LLM/agent frameworks such as LangChain/LangGraph; model evaluation/observability tools such as Galileo or similar).
Experience:5+ yearsAIMLCloud
Skills:CommunicationCollaborationProblem-solvingMentoringPresentation
Languages:English
Tech Stack:PythonJavaSQLAirflowKubeflowSageMakerSnowflakeDynamoDBOpenSearchMLflowMetaflowLangChainLangGraphDockerKubernetesArgo CDAWSGCPAzureSpark

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
Glassdoor: 4.0
WebsiteLinkedIn