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Optimize and accelerate LLM inference and training systems like SGLang and Miles by profiling GPU performance, writing custom kernels, and enabling new models on modern hardware.
Our Physical Infrastructure Robotics team is dedicated to implementing robotics technologies and solutions to transform operations inside our data centers. In this role, you will lead the development, integration, and…
Who We Are Welcome to TELUS Digital, where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications…
Build and scale the ML platform powering PubMatic’s adtech stack, designing pipelines for petabyte-scale data, GPU-accelerated training/inference, and RAG systems to troubleshoot bid streams and deliver AI-driven insights.
Sell enterprise AI data-training services to AGI/GenAI labs, building long-term client relationships and driving multi-million-dollar deals for curated datasets and annotation workflows.
Build and scale quantitative trading strategies for European energy markets using Python, ML, and optimisation to dispatch flexible assets and forecast prices.
Design and run ML experiments to evaluate and improve cutting-edge GenAI models, focusing on reinforcement learning tasks and rigorous analysis.
Build, evaluate, and fine-tune AI models using Python and public datasets; collaborate with researchers to improve model performance and alignment.
Build and maintain Python tooling to generate, evaluate, and rank data for training and benchmarking large language models, working with leading AI labs.
Build and evaluate AI models using Python and JavaScript/TypeScript, fine-tuning LLMs and designing evaluation frameworks for cutting-edge AI systems.
Build and evaluate AI models using JavaScript/TypeScript with Nest.js, Node.js, React, Vue, or Angular to train, fine-tune, and benchmark cutting-edge AI systems for commercial and research use.
Build and optimize Java-based back-end components for training and evaluating large language models, collaborating with cross-functional teams to improve AI performance and alignment.
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports…
About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and…
Evaluate AI research reproductions by reading papers, inspecting code outputs, and ranking attempts with written justifications for a remote freelance role.
Own the product vision and roadmap for AI-powered Command & Control systems and HMIs that let operators task, monitor, and collaborate with autonomous combat air systems.
Develop and deploy manipulation behaviors for humanoid robots using learned and classical methods, iterating from data collection to on-robot execution.
Develops and deploys reinforcement learning policies for humanoid robot locomotion, manipulation, and whole-body control, integrating perception to enable safe, real-world robot operation.
Builds and scales core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems for large-scale AI models.
Staff Applied Scientist at Apple builds and optimizes compact LLMs for Siri’s UI control, tool calling, and conversational features, focusing on mobile hardware constraints and post-training techniques.
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