- Coinbase (Sacramento, CA)
- …Attendance is expected and fully supported. We are looking for a Machine Learning Engineer to join our Risk AI/ML team. We are dedicated to building the ... for new, complex risk detection models. This includes everything from feature pipeline design to model selection (eg, GNNs, LSTMs, LLMs) and high-performance… more
- NVIDIA (Santa Clara, CA)
- We are now looking for a TensorRT-LLM Software Development Engineer ! NVIDIA is hiring software engineers for its TensorRT-LLM team. Academic and commercial groups ... Conduct unit tests and performance tests for different stages of the inference pipeline . + Collaborate across the company to guide the direction of machine learning… more
- NVIDIA (Santa Clara, CA)
- …quantization aware training + Experience with analyzing and fine-tuning deep learning pipeline performance + Experience with building real-time AI models for laptop ... our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your… more
- Walmart (Sunnyvale, CA)
- **Position Summary ** We are seeking a highly motivated Machine Learning Engineer to join our Data Science team. In this role, you will not only design, develop, and ... engineering, ml training and model evaluation. + Experience with pipeline optimization viz. Multi-processing, Multi-threading, Distributed frameworks, Caching , etc.… more
- NVIDIA (Santa Clara, CA)
- …rendering back-ends. + Benchmark performance rigorously, profiling and optimizing across the full pipeline (Sensor → AI → Render → Display, Sensor → AI → Robotic ... Control). + Combine generative models with the Holoscan Sensor Bridge (HSB), Isaac Sim, ISAAC Lab and Omniverse to create real-time "AI-powered virtual sensors" that behave like real hardware-enabling development and testing long before physical sensors exist.… more
- LinkedIn (Mountain View, CA)
- …reporting. ᐧ Mentor engineering and data science teams by conducting pipeline /code reviews, promoting scalable patterns, and enabling maintainable deployment of ... quantitative models. ᐧ Govern development of certifiable reporting and audit systems, policy-as-code and docs-as-code engines, and analytics platforms supporting predictive and anomaly-based risk intelligence. ᐧ Ensure secure, efficient integration and data… more
- NVIDIA (Santa Clara, CA)
- …framework (vLLM) with methods like speculative decoding, data/tensor/expert/ pipeline -parallelism, prefill-decode disaggregation. + Develop, optimize, and benchmark ... GPU kernels (hand-tuned and compiler-generated) using techniques such as fusion, autotuning, and memory/layout optimization; build and extend high-level DSLs and compiler infrastructure to boost kernel developer productivity while approaching peak hardware… more
- LiveRamp (San Francisco, CA)
- …scalability, and cost-effectiveness. + Leverage frameworks and tools that support data pipeline to improve the reliability and observability of our data ecosystem. + ... Partner with cross-functional teams (Data Science, Analytics, Engineering) to ensure that data solutions meet organizational needs. + Mentor and onboard other engineers, contributing to shared standards and technical excellence. **Measures of success:** +… more
- Ford Motor Company (Palo Alto, CA)
- …do * Developer Infrastructure & Toolchain: Implement scalable CI/CD pipeline infrastructure, source code management systems, and repository mirroring solutions ... that enhance developer efficiency across the software development lifecycle. * Build Automation & Integration: Oversee the deployment and maintenance of build automation tooling, artifact repository systems, and containerization strategies for development and… more
- NVIDIA (Santa Clara, CA)
- …systems in large, distributed computing environments + Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins ... + You should display a tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environment + Verification domain knowledge with complex ASICs or CPUs using techniques such as random… more