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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Research Scientist, Infrastructure Modeling and Reliability”. A match may be a passing mention rather than the job itself. Titles only.
343 roles across 371 listings · show every listing · page 3 of 14
…AI-powered business applications and intelligent automation Financial Platforms and Revenue Systems Global Payments Platforms Offers & Data Model Commerce Infrastructure and Cloud Engineering In…
…Responsibilities Conduct foundational and frontier research in Large Language Models (LLMs), Multimodal Large Language Models, Agentic AI, and AI Systems/Infrastructure — pushing the boundaries…
…You'll play an active role in translating research ideas into production systems and build quick prototypes in partnership with Applied Scientists and engineering…
…models and data assets, balancing rapid experimentation with production quality, cost, and reliability. · Scope scientific projects, design and evaluate experiments, and ensure models are…
…infrastructure - Monitor model performance in production, implement drift detection, and drive continuous improvement through retraining and tuning - Partner with applied scientists to operationalize research…
…machine learning and generative AI platform, enabling fast, safe, and reliable deployment of frontier models across the company. Lead AI Infrastructure Vision: Architect end…
…The track is deepening this hybrid model, unifying how workloads run across on-prem hardware and AWS to give product and research teams a…
…You’ll work closely with experienced machine learning engineers, data scientists, product managers, and software engineers to develop models, run experiments, and deploy reliable…
…product managers, applied scientists, and other engineers to define and execute on our product roadmap • Implement and optimize machine learning models for healthcare applications…
…infrastructure and tooling. Deep expertise in at least one of the following areas: Deep Learning Reinforcement Learning Optimization / Operations Research Large Language Models (LLMs…
…You’ll work closely with engineers, researchers, data scientists, and product teams to understand the mechanics of their work and make dense technical systems…
…Its mission is to make planetary research faster, more affordable, and more capable than ever before by rethinking how science missions are designed, built…
…modeling work, and ship models that operate reliably in production. Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and…
…modeling, Bayesian inference, hierarchical learning, and robust evaluation. In this hybrid role, you will report to a Senior Research Scientist. You will: Build and…
…Identify and mitigate risks across AI models, robotics software, hardware, cloud infrastructure, security, safety, and operations. Develop pricing, packaging, adoption, and business cases in…
…reliability, observability, scalability, latency, and cost efficiency. Partnering with Canva Original Research & Exploration (CORE) to productionise cutting-edge image and video generation models through…
…In partnership with applied scientists, threat researchers, product managers, and engineers, you will turn security-evaluation needs into scalable, production-grade systems that determine…
…You will work closely with ML scientists, CV engineers, platform engineers, and SRE partners to translate advanced research systems into secure, reliable, and scalable…
…and model training. - Build and maintain safe, reliable integrations between our models and OpenAI’s research infrastructure. - Develop research agents, experiment-orchestration systems, and…
…As LLMs and Generative AI scale, Model Factory is the platform that turns frontier training research into a reliable, repeatable pipeline for our internal…
…and applied scientists to translate research prototypes into robust, high-performance production systems — diving deep into LLM deployment frameworks, reinforcement learning infrastructure, and state…
…design and iterate recommendation, next-best-action, and agentic solutions, run experiments to validate impact, and operationalize scalable, reliable model lifecycle infrastructure—while upholding…
…safer, more reliable, and enterprise-ready . Success will mean establishing an ambitious research agenda for guardrailing models across modalities, developing exceptional scientists, delivering multimodal…
…you'll partner directly with Growth, Product, Operations, and ML to deeply understand both fellow-facing and operator workflows, and translate them into reliable…
…you'll partner directly with Growth, Product, Operations, and ML to deeply understand both fellow-facing and operator workflows, and translate them into reliable…