…Someone who is still deep enough in the work to be hands-on in the technical trenches and shape method choices, and senior enough…

…Experience in data science and applied machine learning, including classical ML techniques, deep learning models, model evaluation, and production deployment. Disclaimer: Certain U.S…

…learning for LLMs, including PPO, GRPO, DPO, and reward modeling. Hands-on experience with training frameworks and distributed/large-scale training, including FSDP, DeepSpeed…

…About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform…

…Proven experience as a Principal Engineer, Architect, or equivalent senior technical leader driving cross‑org technical strategy and execution. Deep expertise in at least…

…IL6, GovCloud). LLM/GenAI Infra: Experience specifically building training and evaluation platforms for Large Language Models, Generative AI architectures, or Reinforcement Learning (RL) pipelines…

…You will need to leverage your strong knowledge of ML, NLP, Deep Learning, LLM, and experience in working with massive amounts of data to…

…You can engage deeply with scientists on evaluation methodology, data quality, and model behavior, and equally deeply with engineers on architecture, inference latency, and…

…Expertise in training and inference optimization. Proven ability to influence platform architecture and align cross-team roadmaps. Track record of publications in tier-1…

…Drive next-generation algorithms — including LLM-powered experiences, intent inference, and real-time personalization — that change how people find and create with Canva. Turn…

…Drive next-generation algorithms — including LLM-powered experiences, intent inference, and real-time personalization — that change how people find and create with Canva. Turn…

…AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the…

…architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles…

…Formal grounding in machine learning fundamentals — modeling, training, evaluation, and the principles behind modern deep learning, LLMs, and agent architectures. Hands-on depth designing…

…Exposure to LLM fine-tuning or inference optimization in production. Why join us Intelligence is commoditizing. Context and execution are not. With 100B+ workflows…

…experience optimizing inference for neural models — not just using inference frameworks, but profiling and improving them - Strong understanding of deep learning architectures (transformers, attention…

…Strong domain knowledge of trade products and flows, including the functions of front office, middle office, back office, and settlement systems Deep understanding of…

…systems Deep expertise in LLM training, fine-tuning, inference optimization, and evaluation at scale Strong background in ML algorithms, deep learning architectures, and modern…