[Remote] Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. Twilio is shaping the future of communications by delivering innovative solutions and empowering developers worldwide. They are seeking a Machine Learning Engineer to drive innovation and develop cutting-edge products for their Data & Observability Substrate organization, focusing on building scalable, low-latency ML-based systems for real-time applications.ResponsibilitiesPartner with product, UX, and technical stakeholders to analyze business problems, clarify requirements, define scope, and translate them into measurable ML problem statementsDesign, implement, and maintain scalable, enterprise-grade ML solutions in productionBuild reproducible ML workflows for data preparation, training, evaluation, and inference using modern orchestration and MLOps toolingImplement monitoring and evaluation frameworks to continuously improve data quality, model performance, latency, and cost through feedback loopsPartner cross-functionally with Product, Data Science/ML, Engineering, and Security to deliver resilient, scalable, and compliant ML-powered servicesDemonstrate end-to-end systems understanding and articulate the “why” behind model and system design choicesOwn operational excellence: SLAs, on-call, incident response, customer feedback triage, and blameless post-mortemsDrive engineering excellence via AI-assisted SDLC, code reviews, automated testing, MLOps best practices, knowledge-sharing, and mentoringActively adopt AI-assisted practices to improve implementation and collaboration efficiencySkillsStrong foundation in ML/AI (statistics, probability, optimization) with the ability to apply these concepts to real-world problems5+ years of experience building, deploying, and operating data and ML systems in productionProficient 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)Working knowledge of containerization and cloud infrastructure, including Docker and Kubernetes, GitOps/CI/CD tools (e.g., Argo CD), and at least one major cloud platform (AWS, GCP, or Azure)Understanding of data modeling and scalable systems, including distributed computing and streaming frameworks (e.g., Spark/EMR, Flink, Kafka Streams); familiarity with GPU-based implementation is a plusDemonstrated ability to ramp up quickly and operate effectively in new application/business domainsStrong written and verbal communication skills: able to document and present designs and decisions, and comfortable giving/receiving feedback in an Agile environmentFamiliarity with ML problem areas and techniques, including recommendation systems (e.g., graph-based approaches, two-tower models), time-series modeling (classical and deep learning), representation learning (e.g., embeddings), anomaly detection, and causal inferencePractical experience with LLMs and generative AI workflows, including foundation model fine-tuning, RAG, and vector databasesEvidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or researchDomain experience (plus) in communications, marketing automation, or customer engagement analyticsFamiliarity with AI-assisted development tools (e.g., Claude, GitHub Copilot/Codex, Cursor, etc.)Advanced degree preferred (M.S. or Ph.D.) in a relevant fieldBenefitsCompetitive payGenerous time offAmple parental and wellness leaveHealthcareA retirement savings programThis role may be eligible to participate in Twilio’s equity plan and corporate bonus plan.All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.Company OverviewTwilio is a cloud communication company that enables users to use standard web languages to build voice, VoIP, and SMS apps via a web API. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.twilio.com/.Company H1B SponsorshipTwilio has a track record of offering H1B sponsorships, with 12 in 2026, 215 in 2025, 168 in 2024, 209 in 2023, 369 in 2022, 264 in 2021, 157 in 2020. Please note that this does not guarantee sponsorship for this specific role.