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Principal, Machine Learning Engineer (L5)

Posted about 2 months agoViewed

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💎 Seniority level: Principal, 7+ years hands on experience as an engineer, 3+ years of experience in developing AI/ML systems.

📍 Location: US

💸 Salary: 200000.0 - 290000.0 USD per year

🔍 Industry: 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: 7+ years hands on experience as an engineer, 3+ years of experience in developing AI/ML systems.

🪄 Skills: PythonKafkaMachine LearningPyTorchTensorflow

Requirements:
  • 7+ years hands-on experience as an engineer writing production-grade code in a modern programming language.
  • 3+ years of experience in developing AI/ML systems.
  • Proven experience building, evaluating, and deploying large-scale AI/ML solutions for customer-driven products or similar high-performance environments.
  • Expertise in NLP and conversational AI systems.
  • Experience in various ML frameworks (e.g., TensorFlow, PyTorch, Llama Index, Langchain) and real-time data processing platforms (e.g., Kafka, or similar).
  • Proficiency in Python or similar programming languages.
  • Solid understanding of distributed computing and low-latency systems.
  • Exceptional collaboration skills, and cross-function and organization partnering.
  • Strong customer focus, excellent written and verbal communication skills.
Responsibilities:
  • Architect and lead the development of cutting-edge AI/ML systems for communication platforms, including natural language processing (NLP) and real-time decision-making models.
  • Collaborate with leadership to align AI/ML initiatives with the company’s strategic goals, ensuring impactful integration across product lines.
  • Design and implement scalable, robust ML models to support real-time, low-latency communication systems.
  • Explore and innovate around AI-driven personalization, recommendation systems, and predictive analytics to enhance user engagement.
  • Provide thought leadership in AI/ML technology, evaluating emerging trends and their applicability to communication challenges.
  • Ensure adherence to best practices for data security, privacy, and ethical AI, especially in handling sensitive communication data.
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