Twilio

Twilio

Senior Manager, Machine Learning

Remote (Worldwide)RemotePosted Today
Full TimeSeniorRemote

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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 deve

Key Highlights

  • Collaborate with other engineering teams and cross functional teams to translate ambiguous business problems into a clear, prioritized ML product roadmap for your team.
  • Have a 'player-coach' mentality, and contribute hands-on technical expertise while providing strategic direction and mentorship to the team.
  • Establish a high-performing engineering setup that enables the team to rapidly iterate, experiment, and deploy models, fostering a culture of operational excellence and close partnership with product and business stakeholders.
  • Drive continuous improvement in the team's processes, tooling, and infrastructure to optimize for velocity, quality, and maintainability.
  • Actively monitor the ML and AI landscape to ensure the team is continuously up-to-speed on state-of-the-art research, techniques, and tools, promoting their strategic adoption where appropriate.

Qualifications

Required Qualifications

  • Bachelors in Computer Science, Engineering, or a related field.
  • 10+ years of experience in Applied ML or AI, including 3+ years of either leading a team of Machine Learning Engineers or data scientists.
  • Proven experience defining and executing a multi-year technical vision and strategy for a large-scale, complex ML platform or product.
  • Deep expertise in the design, architecture, and deployment of production-grade ML/AI systems, including deep knowledge of LLM orchestration, embedding models, and vector stores.
  • Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale.
  • Strong background in building cloud-based services using AWS, GCP, or Azure, with experience managing high-volume data and various data stores.
  • Experience in recruiting, hiring, and scaling high-performing Machine Learning or engineering teams.
  • Exceptional communication and collaboration skills, with a proven ability to mentor engineers, influence product direction, and drive results across multiple teams.

Skills & Technologies

Machine LearningAWSGCPAzure

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

Remote (Worldwide)

Work Mode

Remote

Posted

Today