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Senior AI/ML engineer building and deploying scalable, production-ready AI, ML, and generative AI systems for US federal government clients. Day to day involves Python development, data pipelines, MLOps/CI/CD, APIs and microservices, and model optimization on cloud platforms, requiring an active TS/SCI clearance.
Build and deploy AI voice and text agents handling millions of customer interactions monthly for Wave’s fintech platform in Africa, using LLMs and speech tech.
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Senior engineer on Motorola Solutions' camera systems team designs, optimizes, and deploys AI and computer-vision models in modern C++ directly on embedded camera hardware for real-time safety and security video analysis. Core tech: modern C++, embedded Linux, camera SDKs, performance optimization, and ML deployment.
AI research role at Physical Superintelligence (psi), a startup building agents and RL training systems that learn to do physics. Day to day: train RL agents for scientific discovery, design physics-reasoning benchmarks and reward structures, scale distributed training, and publish results alongside physicists and infrastructure engineers in Boston.
Radian Arc, a GPU/AI infrastructure provider, is hiring its first dedicated Staff Network Engineer (remote) to design, build, and operate the networking behind its GPU cloud platform — spanning high-performance RoCE/RDMA AI fabrics, datacenter L2/L3 networking, security/edge, and inter-datacenter WAN — blending architectural ownership with hands-on execution.
Staff-level role designing and operating the AI storage layer for large-scale GPU infrastructure. The engineer manages high-throughput storage for model training and inference, working with distributed systems like WEKA, VAST Data, and StorPool, while optimizing Linux I/O paths, RDMA/RoCE data paths, and Kubernetes CSI integrations.
Staff engineer on Google Cloud's AI research team who leads rapid 'strike sprints' prototyping autonomous AI agents and multi-agent frameworks, then scales them into enterprise solutions via forward deployed engineering. Core work spans agentic architectures, LLM/foundation-model training and evaluation, and production-grade coding in Python, C++, Java, JavaScript, or R.
Who we are Aleph Alpha’s mission is to deliver sovereign, human-centric AI to governmental institutions and large enterprises. To that end, we deliver category-defining AI innovation that enables open, accessible, and…
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and…
RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory…
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at…
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people…
Founding Solutions Architect at Prime Intellect who owns technical wins in AI infrastructure sales: running deep discovery on customers' training and inference workloads, designing architectures on Prime's GPU platform, and executing benchmarks and POCs that become defensible technical business cases. Core stack: GPUs/CUDA, distributed training and inference systems.
Builds and operates the ML platform infrastructure powering feature engineering, model training, and model serving (including LLM inference) across Coinbase, supporting fraud detection, personalization, and blockchain analysis. Core work spans low-latency streaming pipelines, distributed training, and highly available inference services.
Do you believe that generative models can fundamentally change how people interact with devices? Are you excited by the possibility of connecting people to unprecedented levels of creativity? Come join the team that…
Mid-level platform/data engineer at an AI-focused biotech startup in San Francisco, building cloud data infrastructure (Kubernetes, Terraform, lakehouses) and reproducible omics pipelines with Nextflow so scientists and ML engineers get reliable, compliant clinical and biomedical datasets.
CFD Research is hiring a Senior AI/ML Engineer in Dayton to design, build, and deploy AI/ML solutions (NLP/LLMs, generative AI, computer vision) that modernize national-security mission systems, spanning data pipelines, MLOps, and production microservice deployment. Requires 5+ years of ML experience, U.S. citizenship, and an active TS/SCI clearance with polygraph willingness.
Build and optimize large-scale voice AI models for natural, low-latency spoken interactions, handling data pipelines, training, and deployment across real-time applications.
Oracle Cloud Infrastructure (OCI) is seeking a Director of Engineering to lead the NXI team within the Strategic Customer Engineering organization. The NXI team helps customers with new products, features, and regions.…
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