…on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical…

…In this hybrid role, you will report to the Head of Onboard Engineering Recruiting. You will: Partner directly with research and technical staff to…

…technical fluency across ML, data pipelines, and distributed systems. - Experience working closely with ML researchers and engineers to drive impact in production. - Ability to…

…training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver. We are looking for researchers and software engineers passionate…

About the Role and Team As a Principal Research Engineer on the Post-Training team, you will drive the technical vision, execution, and evolution…

…across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML training, or…

…deep learning frameworks (TensorFlow, PyTorch) and experience with large-scale model training, distributed computing, and MLOps Strong programming skills in Python and familiarity with…

…other architects and engineering teams to design and deliver secure, resilient, and scalable solutions that support front-office trading, sales, research, and market-operations…

…Skills & Qualifications - 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure. - Experience in distributed…

…Skills & Qualifications - 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure…

…About the Team The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate…

…AI research, large-scale distributed systems, and robotic operations, you'll keep the platform reliable, scalable, and coherent so our researchers and engineers can…

…researchers, infra, operations, and external partners. - Enjoy working in a hybrid research–engineering role SKILLS AND QUALIFICATIONS: - Experience building web crawling, data ingestion, or…

…working at the intersection of distributed systems, data infrastructure, and AI - Able to collaborate closely with researchers, infrastructure engineers, and data quality teams SKILLS…

…The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. ABOUT…

…scale RL training infrastructure (distributed training, GPU clusters) - Strong communication skills and ability to work across disciplinary boundaries (ML, controls, mechanical engineering) Amazon is…

…understanding • Lead research initiatives in computer vision, sensor fusion and 3D perception • Collaborate with cross-functional teams including robotics engineers, software engineers, and product…

…As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned…

…Engineering work experience (inclusive of PhD research or equivalent specialized education). Expertise in Systems Languages: Deep proficiency in Go, Java, or C++ . Distributed Systems…

…Our researchers and modeling engineers train models, iterate on data mixtures spanning conductor backed Siri telemetry to synthetic voice corpora, and stack supervised fine…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…

…Experience with large-scale distributed training and the infrastructure considerations that shape model design at scale. A data-centric perspective on foundation model development…

…supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches. Partner closely with product managers, engineers, data scientists, and designers to define and execute…

…AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, software engineering. - 15+ years of relevant, broad research experience after PhD…