Shield AIWashington, DCDevelop and integrate autonomy software for emerging platforms in space, maritime, and contested logistics. Integrate existing capabilities, develop new mission behaviors and controls, own end-to-end testing from simulation to live exercises, and support field operations (10-20% travel). Requires 5+ years experience with C++ and embedded/real-time systems integration.
Develop and deploy advanced vision, VLM, and VLA machine learning models for autonomous systems perception. Own models from training through optimization and deployment on embedded hardware, collaborating with research and engineering teams to deliver production capabilities for complex real-world environments.
Develops AI-powered solutions using LLMs to improve code security vulnerability detection, prioritization, and remediation. Collaborates with customers, implements end-to-end features, and evaluates models through experimentation on real-world data.
As a Senior ML Software Engineer on the Mapping team, you will develop and launch machine learning models to detect environmental changes and update Lyft's digital map. This role involves end-to-end ML solution development, data analysis, and production-quality coding.
Develops and launches machine learning algorithms powering Lyft's recommendation systems and core services, partnering with cross-functional teams to solve diverse problems in transportation and personalization. Requires 5+ years ML experience, Python/Golang proficiency, and advanced ML methodologies.
Build and productionize large-scale recommendation systems, NLP/embedding models, and agentic AI workflows. Requires 6+ years ML/NLP experience and expertise in PyTorch/TensorFlow, RAG, and vector search.