…Shape Data & Evaluation Strategies: Define and execute data collection strategies across physical assets, test sites, and virtual simulations. Work with AI Infrastructure engineers to…

…the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards…

…in how engineers actually work, and with the broader research team to translate that domain grounding into training signal and evaluation benchmarks that measure…

…You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in…

…training and practice experience to evaluate, stress-test, and improve AI systems used in legal work. You will not be expected to code, but…

…Strong coding ability and proficiency in collaborative code development. Ability to quickly iterate between ideation, implementation and evaluation of new research ideas. Ability to…

…Support Dataset Demand Generation: Run and share leaderboard evals to drive Mercor’s research brand equity during new model releases. - Manage Training and Inference…

…evaluation methods, AI-native developer tools, and modern data architectures, and turn them into capabilities that make our Data Engineering, Analytics, and Data Science…

…360 - A GenAI summarization and prioritization engine that aggregates customer feedback signals (PFRs, SpecReqs, SFDC Opportunity data) into categorized, prioritized service recommendations - automating what…

…engineers who are passionate about the idea of AI-native software engineering: systems where agents can work with code, data, experiments, and evaluations to…

…Proficiency in data engineering and platform development. Experience with relational databases (e.g., Oracle) and/or cloud data platforms, including performance tuning and query…

…Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security…

…integrate them into production code running on hundreds of millions of devices Collect and analyze real-world datasets to train models, validate performance, and…

…evaluate organizational effectiveness, customer health, resource allocation, and technical success, and can turn that evidence into action. - Collaborate effectively across Sales, Product, Engineering, Research…

…Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform…

…Close the feedback loop between model development, evaluation, and production, ensuring that quality signal flows continuously from creator outcomes back into training data, model…

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

…establishing scalable evaluation methodologies, quality gates, and feedback loops that improve agentic capabilities over time. - Partner with triage, engineering, offensive security researchers, and product…

…collecting data, evaluating and training models, and writing production quality code. You will also have the opportunity to join cutting edge research working with…

…Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing…

…Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered…

…Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. SENIOR GTM SYSTEMS & PROCESS ENGINEER REMOTE LOCATION: BOSTON, MA; SEATTLE…

…of engineering and applied AI research. You’ll own benchmarking pipelines, evaluation systems, and failure analysis workflows that directly inform how we train and…

…The Machine Learning Data Ops QA team ensures that Research and Development teams receive complete, accurate, and consistent datasets to train the models powering…

…health. - Define and curate the datasets and signals needed to train and evaluate these agents — advertiser and campaign data, auction and bid/budget signals…