Join Lyft as a Machine Learning Engineer to develop and maintain systems for estimating ETAs, ensuring low latency and high accuracy for an enhanced user experience.
Research Engineer, Machine Learning
📅 Jul 10
Machine LearningDeep LearningPythonPytorch
📜 Description
- Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
- Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
- Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
- Design, implement and benchmark ML algorithms; write clear, efficient code in Python .
- Deliver prototypes that become production-grade components for Le Chat and our enterprise API.
🛠️ Requirements
- Master's or PhD in Computer Science (or equivalent proven track record).
- 4 + years working on large-scale ML codebases.
- Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
- Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
- Strong software-design instincts: testing, code review, CI/CD.
- Self-starter, low-ego, collaborative.
✨ Benefits
- Research Engineer, Machine Learning @ Mistral
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