Senior Machine Learning Engineer, Rider Applied AI
Core
Design, build, train, and deploy state-of-the-art machine learning and AI systems for real-time applications in the ride-sharing domain.
Role type
Senior IC machine learning engineer (Rider Applied AI)
Builds
Scalable ML pipelines and real-time AI systems for Lyft's ride-sharing platform
Domain
Transportation / Ride-sharing / Applied AI
Deliverable
production ML models
Required skills
supervised/unsupervised learning, reinforcement learning, advanced optimization, scikit-learn, Tensorflow, PyTorch, Keras, Spark, Hadoop, AWS, GCP, Docker, Kubernetes
Preferred skills
LLMs and LLM-based applications, distributed computing frameworks, cloud platforms, containerization tools
Responsibilities
Design and deploy ML models for real-time applications; Architect scalable ML pipelines; Collaborate with product managers and engineers; Explore new algorithms and technologies; Utilize data-driven insights to refine strategies; Mentor engineers; Write production-level code and participate in code reviews
Seniority
Senior, hands-on IC with mentorship
