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Staff, Machine Learning Engineer

Posted 24 days agoViewed

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💎 Seniority level: Staff, 5+ years

📍 Location: South America, Europe, Asia, Australia

💸 Salary: 184000.0 - 270000.0 USD per year

🔍 Industry: Real-time business communications and data solutions

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff about 1 year agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSDockerPythonSQLKerasKubernetesMachine LearningPyTorchData scienceTensorflow

Requirements:
  • 5+ years of applied ML experience focusing on developing and deploying LLMs and supervised ML models.
  • Proficiency in programming languages such as Python or R, and experience with frameworks like Pytorch, TensorFlow, SciKit-Learn.
  • Strong understanding of data processing techniques, including SQL and big data technologies.
  • Demonstrated ability to develop, train, and deploy ML models and Python apps in production.
  • Experience with cloud platforms and containerization tools like Docker and Kubernetes.
  • Excellent problem-solving skills and strong communication capabilities.
Responsibilities:
  • Build and deploy machine learning models leveraging NLP, recommendation systems & GenAI-powered applications.
  • Collaborate closely with product, program, analytics, and engineering teams to refine models for business outcomes.
  • Leverage technical stack such as Python, SQL, R, and libraries for developing AI/ML solutions.
  • Utilize enterprise data sources like Salesforce and Zendesk to enhance predictive accuracy.
  • Apply knowledge of Large Language Models for developing innovative GenAI use cases.
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