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Build and optimize ultra-low-latency ML inference pipelines for quantitative trading, tuning GPU/FPGA kernels and memory hierarchies to microsecond precision.
Design and implement hardware-aware quantization and optimization methods for LLMs and diffusion models to maximize performance on Neurophos's optical inference engines.
The Role Every robot we ship goes out with edge compute attached to it, and that compute has to work reliably in someone else's factory, not in our lab. We need a founding software engineer to build the system that…
The Senior AI Machine Learning Engineer will design and deploy production-grade generative AI applications and autonomous agents to automate financial workflows. The role focuses on leveraging foundation models, RAG, and fine-tuning to enhance BlackLine's financial close and invoice-to-cash platforms.
Staff iOS engineer leading the technical direction for QuickBooks Workforce Solutions, architecting modular Swift codebases and shipping on-device AI/ML features for millions of small business users.
Senior Python Developer building and scaling Optica Security, a DISA APL-listed STIG compliance platform for federal defense customers. Day-to-day work involves Python-based security scanning, integrating local and cloud AI/LLM models, and automating cybersecurity content workflows.
The Senior Solutions Architect will work with strategic inference service providers to optimize large-scale AI inference pipelines and develop reference architectures using NVIDIA's stack. The role involves technical leadership, performance optimization of GPU clusters, and guiding partners on deploying disaggregated inference systems.
About this role: Wells Fargo is seeking a Quantitative Analytics Manager. Wells Fargo is seeking a hands-on Manager for oversight of development of Foundation models as well as Gen AI and Agentic applications…
Develop, optimize, and deploy machine learning models for audio and multimodal intelligence on edge/embedded devices, working at the intersection of ML modeling, DSP, and embedded systems using C/C++, Python, and on-device ML runtimes like TFLite Micro.
The Technical Architect will design and implement scalable, fault-tolerant AI systems on Google Cloud, bridging the gap between research and production. The role involves leading MLOps lifecycles, defining compute strategies for AI workloads, and mentoring teams to build resilient, cloud-native architectures.
Lead AI Engineer responsible for designing, building, and optimizing AI systems (e.g., retrieval-augmented generation, semantic retrieval) using large language models and advanced architectures like colbertv2. Focuses on scalability, performance, and compliance while mentoring teams.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Builds and maintains ultra-scalable data platforms for Apple’s cybersecurity solutions (anti-phishing, spam, network security), leveraging NoSQL, ML, and big data technologies to process massive volumes of critical data.
Description • Develop classification and clustering models on tabular data to support hematology analyzer capabilities • Contribute to model development, evaluation, and iteration under the guidance of a senior data…
Build and deploy AI models that monitor vehicle health in real time using logs, traces, and sensor data, then optimize them to run on resource-constrained edge devices.
Optimizes AI inference performance at scale for DeepMind’s general-purpose learning agents, analyzing bottlenecks across application, model, and distributed infrastructure to maximize hardware throughput and reduce latency.
Principal Data Scientist builds and scales AI/ML systems for media metadata and discovery, focusing on computer vision, generative models, and multimodal architectures.
The Senior Deep Learning Engineer will design and build evaluation infrastructure for NVIDIA's frontier AI models, including LLMs and agentic systems. This role involves developing novel benchmarking methodologies and collaborating with research teams to guide model releases using large-scale GPU clusters.
Own verification of custom AI accelerator hardware for matrix/vector compute engines, ensuring numerical correctness and performance under LLM workloads using SystemVerilog/UVM and reference models.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
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