…There are numerous scientific and technical challenges you will get to tackle in this role, such as optimizing/fine-tuning GenAI/LLM solutions for…

…Machine Learning Scientists in Operations, embedded in product squads alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers, and operations…

…coding tools (e.g., Copilot, LLM-based tools) while maintaining high standards of code review, correctness, and efficiency Drive innovation in feature engineering, including…

…impact of LLM-driven solutions. - Write code (Python, SQL) to acquire, transform, and analyze data at scale, and partner with applied scientists and engineers…

…Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and…

…Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes, building sophisticated analytical solutions to drive optimization and efficiency. The candidate…

…outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice…

…1+ years of experience in building LLM applications with familiarity in agent and orchestration frameworks, tool use, LLM evaluations and driving efficiency improvements. Technical…

…outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice…

…Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their…

…collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to…

Overview We are building the evaluation backbone for safe, reliable, and efficient agentic engineering in Microsoft Security. This team will create systems that determine…

…YOUR RESPONSIBILITIES As a Senior Research Scientist, you’ll design, implement, and deploy cutting-edge research in reinforcement learning and post-training at scale…

…We are looking for a research scientist to advance the architectures, pre-training methods, and distillation techniques that make highly capable multimodal models practical…

…Lead, mentor, and grow a small high-performing team of data scientists and ML engineers, cultivating a culture of technical excellence, accountability, and continuous…

…Ensure these pipelines are scalable, efficient, and maintainable, working closely with data engineering leaders on implementation. Lead the incorporation of LLM-based components for…

…Conduct rigorous model evaluation, testing, and iteration to continuously improve model quality and efficiency. Design and integrate LLM-powered features and AI agent workflows…

…LLMs, Audio/Voice data processing, and Reinforcement Learning and consulting experience. Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer…

…You will: - Lead and develop a high-performing team of research scientists and ML engineers, building strong development plans, fostering a candid and non…

…RL runs stable. - Advance training efficiency and stability, and turn new post-training ideas into production runs with researchers. First 90 Days One way…

…You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and…

…We are looking for exceptional scientists to join our Applied Science team to advance the state-of-the-art in developing efficient multimodal language…

…cause analysis - Automate processes to increase efficiency and enable self-service capabilities - Partner with Software Developers, Data Scientists, and business stakeholders to deliver data…

…Research Scientist to drive advancements in generative models, with a particular focus on fundamental topics (data efficiency, continual learning) in large language models (LLMs…

…feature creations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Research and implement novel machine…