Sprinter HealthSan Francisco, CABuild and maintain production ML systems including training/inference pipelines, model serving via APIs/batch, monitoring for drift, and automated retraining. Productionize models from prototypes with strong Python, MLOps, and reliability focus.
Builds benchmarks and runs experiments in document AI, then publishes high-velocity technical content like blogs and analyses to drive developer awareness and adoption. Requires strong Python/ML engineering and rapid technical writing skills.
Build and deploy large-scale online ML models and end-to-end pipelines for real-time fraud detection at Sift, working on automated training systems that process over 1T events. Requires 4+ years production ML experience, strong Python/Java/Scala skills, and distributed systems expertise with Spark, Databricks, and GCP.
Develops and optimizes transformer-based vision-language foundation models for physical security, owning full-cycle training, fine-tuning, compression, and deployment for real-time inference on images, videos, and text. Requires PhD/Master's in CS/EE, hands-on ML expertise with PyTorch/TensorFlow, Transformers, and ViTs.
As a Perception Autonomy Engineer, you will develop, integrate, and maintain real-time sensor software solutions for autonomous vehicles. This involves designing and deploying AI/ML sensor algorithms, creating interfacing software for sensor control, and collaborating with cross-functional teams for seamless deployment and testing.
Build and maintain Lyft's ETA prediction system using ML models for ride matching, pricing, and user experience. Requires 3+ years ML experience, production code for high-scale low-latency systems, and tradeoff decisions on accuracy vs performance.