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Build and deploy AI systems for public safety, including computer vision, speech recognition, NLP, and generative AI, across cloud and edge devices.
Leads technical projects in Google Search’s generative AI and personalization quality team, designing large-scale AI systems to improve search relevance and user context for billions of users.
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off…
As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence…
AI/ML intern working on-site in Bee Cave, applying Python, Pandas, and NumPy to machine learning tasks including supervised and unsupervised learning, model evaluation, and neural networks.
Develops end-to-end computer vision and computational photography features for Google Pixel cameras, from algorithm research to system optimization, ensuring cutting-edge mobile imaging experiences.
Research and implement hardware-aware neural network optimization techniques (quantization, pruning, NAS) and optimize ML inference pipelines and compilers/runtimes (TVM, MLIR, TensorRT, ONNX Runtime) for edge devices at Huawei's Software-Hardware System Optimization Lab in Edmonton.
Designs and builds ML models and data pipelines for government missions, assessing dataset readiness and recommending fit-for-purpose solutions using Python, SQL, and AWS SageMaker.
Senior AI/Forward Deployed Engineer on a contract building and deploying LLM-powered agents, copilots, and AI automation solutions for an enterprise AI Transformation team using Python and modern AI frameworks.
First AI engineer building a production AI efficiency layer (token reduction, cost optimization, context management) using Python/TypeScript, LLM APIs, and cloud infrastructure—on-site in Berlin five days a week.
Founding AI Engineer building the core efficiency layer for production AI systems—reducing token usage and costs via context optimization, caching, and model routing—using Python/TypeScript, cloud infrastructure, and LLM APIs.
Founding AI engineer building a production AI efficiency layer—working on token reduction, context optimization, caching, model routing, and an OpenAI-compatible gateway using Python/TypeScript, LLM APIs, PostgreSQL, Docker, and cloud infrastructure.
Software engineer at Google Research building and optimizing ML/AI systems at scale, including model deployment, data processing, and infrastructure across specialized ML domains.
Principal ML Engineer builds and optimizes LLM-based models, fine-tuning pipelines, and production-grade ML services for a SaaS platform powering tech solution providers.
Overview MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value…
Owns AI product delivery for military planning and real-time alerting systems, driving deployments in classified environments and translating operational needs into platform requirements.
The Senior Data Scientist will design, develop, and deploy AI models using transformer architectures and foundation models to analyze telemetry data for ArcGIS users. The role involves fine-tuning models with LoRA/QLoRA, building evaluation frameworks, and collaborating with cross-functional teams to deliver production-ready AI solutions.
Build AI-native tools, LLM workflows and AWS infrastructure for a PR/communications consultancy, primarily using Claude Code, Python and LLMs to ship practical AI capabilities from prototype to production.
Senior Full Stack Engineer building clinical data annotation and internal tooling platforms for a healthcare data company, primarily using C#/.NET, React/TypeScript, and NestJS.
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