As a Machine Learning Engineer on the Fulfillment team at Lyft, you will design, develop, and deploy advanced machine learning systems to enhance ride-sharing operations.
Machine Learning Engineer
🕒 yesterday
Machine LearningPythonPytorchTensorflow
📜 Description
- Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.
- Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural
- Instrument AI/ML services with appropriate metrics, logging, and telemetry to monitor model performance and operational health against defined SLOs
- Participate in on-call rotations, executing progressive rollouts and applying standard mitigation strategies to keep production inference services healthy
- Collaborate across planning, design, and code review phases contributing to product and technical discussions, while helping raise overall code quality through thoughtful review feedback
🛠️ Requirements
- and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
- Hiring and how we work
- We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
- Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let
✨ Benefits
- Competitive pay
- Generous time off
- Ample parental and wellness leave
- Healthcare
- Retirement savings program
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