remote
Senior Machine Learning Engineer - Lyft
ML Engineer
Lead end‑to‑end ML development for large‑scale transportation data, building scalable models and pipelines on AWS to drive real‑time rider and marketplace decisions.
About the role
Key Responsibilities
- Design, implement, and production‑grade deploy ML models that process petabyte‑scale ride‑sharing data.
- Collaborate with data engineers to build robust data pipelines and feature stores on AWS.
- Optimize model training and inference for low latency, high throughput in a distributed environment.
- Conduct rigorous experimentation, A/B testing, and performance monitoring to iterate on model quality.
- Mentor junior engineers and champion best practices in ML engineering and DevOps.
Requirements
- 5+ years of ML engineering experience in a production setting.
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Hands‑on experience with AWS services (SageMaker, EMR, ECS, S3) and distributed training.
- Solid background in data engineering, SQL, and large‑scale data processing.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningpytorchaws