Scale Labs, Research Scientist — Safety Post Training As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in…

…The first industry research lab in safe autonomy, developing a universal safety layer for the next generation of robotic systems: mobile robots, manipulators, mobile…

…product direction and requirements Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds Design and…

…We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group…

…of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness. - Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization…

…cross-functional effort spanning our Post-Training, Safety Engineering, Trust & Safety, ML Infra/Model Serving, and User Experience Research (UXR) teams. Together, these groups…

…Lead applied scientists, engineers, data specialists, technical program managers, and infrastructure leaders in converting research advances into production-grade services with measurable business and…

…Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase…

…This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of…

…Working knowledge of frontier model development (benchmarks, evals, RL, post-training, agentic systems) and the data and environments behind them. Technical or research background…

…The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open…

…This is the most senior individual contributor role on our Safety AI team. The role is focused on taking models from research to production…

…accounts Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration Provide technical training and knowledge transfer to customer teams…

…models — from data collection and labeling strategy to training, evaluation, and deployment - Mentor junior scientists and engineers; contribute to a culture of technical excellence…

…Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase…

…models — from data collection and labeling strategy to training, evaluation, and deployment - Mentor junior scientists and engineers; contribute to a culture of technical excellence…

…FOR PLATFORM The infrastructure underneath Headway — billing, claims, payments, and trust and safety — needs to scale reliably at the speed of our growth. We…

…The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open…

…world biological experiment workflows Collaborating with research scientists in the Seattle Robotics Lab to elevate early-stage research findings and integrate them into a…

…safety events caught, accident rates reduced, model reliability at production scale, and the velocity at which your team can move from research idea to…

…Pre-training: Large scale knowledge-based data collection. Post-training: Planning and collecting for next generation agentic capabilities. Building a golden bench set for…

…Post-trained reasoning models with frontier-level quality at a fraction of cost and latency - Snowflake Intelligence: Brought research to production through agentic innovations…

Scale Labs, Research Scientist — Frontier Risk Evaluations As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in…

…10+ years in machine learning engineering, with demonstrated tech lead ownership of at least two major ML platform domains (distributed training, data/research infrastructure…

…Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches. A track record of published research in machine learning…