…Our systems span large-scale data pipelines and querying workflows, batch training and inference, and low-latency online retrieval and ranking systems. We are…

…cohort analysis, forecasting models, causal inference, or quasi-experimentation). Ability to understand rep and customer behavior and the meaning behind the numbers, translating them…

…You will design RAG architectures, agentic AI workflows, model customization strategies, responsible AI implementations, and production-scale inference pipelines. You will interact with other…

…production Working knowledge of GenAI and agentic AI patterns, including large language models, retrieval-augmented generation, and agentic frameworks, with the ability to assess…

…Experience with distributed training or inference for SLMs and LLMs, including data and model parallelism, mixed-precision training, checkpointing, experiment management, performance optimization, and…

…building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will be responsible for guiding the team through the…

…retention, and lifecycle management. Working knowledge of AI and machine-learning concepts, including generative AI, large language models, training and inference data, explainability, bias…

…to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience…

…language - Experience developing, deploying and managing AI products at scale - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles…

…Minimum 8 years of hands-on experience in applied machine learning, including generative AI, large language models, or foundation models. At least 5 years…

…Job Responsibilities Build generative AI, agentic AI, and large language model solutions in Python from proof of concept through production deployment with measurable outcomes…

…privacy-by-design, data minimization, access-control models (RBAC/ABAC), encryption, audit logging, and data lifecycle management. Experience conducting privacy and security reviews, threat…

…world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10…

…in C and C++ in large, production system software Understanding of runtime systems: process/thread models, memory management, IPC/RPC, and resource lifecycle Understanding…

…inference systems (NVIDIA Triton Inference Server, TensorRT, ONNX Runtime, Ray, or similar) - Fluency in Python and proficiency in C++ or another systems language - Excellent…

…tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches. - Drive strategic insight generation by…

…source control management, build processes, testing, and operations experience - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and…

…Familiarity with frontier AI tooling including large language models (LLMs), RAG (Retrieval-Augmented Generation) systems, agentic AI frameworks, and AI-assisted workflows. Experience with…

…ability to design maintainable codebases and APIs that bridge model inference/orchestration layers with user-facing surfaces. - Experience navigating ambiguous, cross-functional projects that…

…Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval…

…experiments and causal inference analyses to measure the impact of new features and model changes on customer outcomes - Build ROI models and business case…

…deploy machine learning models, including LLM-based systems, retrieval models, and task-specific models - Develop and evaluate models using large-scale, noisy, heterogeneous datasets…

…running experiments on large-scale video, image, and sensor datasets - Collaborate with software engineers to productionize models - optimizing for inference latency, accuracy, and reliability…

…technical direction across an organization - Familiarity with ML workflows (training, inference, model management) and the challenges practitioners face - Master's or PhD in Computer…

…Experience with parallel programming, high-performance computing, or large-scale AI model training/inference test harnesses. Track record of applying AI/observability techniques to…