…compute, data, and runway to pursue problems that few teams in the world have the resources to tackle. As a Senior Scientist, you will…

…dataset strategy, data quality criteria, labeling approaches, simulation or synthetic data opportunities, and evaluation protocols for robotics and embodied AI use cases. Guide model…

…Partners with data science teams to establish advanced model objectives, optimize training data, and evaluate metrics, ensuring strategic alignment with complex and novel product…

…As a senior engineering leader, you will build and mentor high-performing engineering managers and technical leaders, establish long-term organizational strategy, foster technical…

…ML and Data Science Teams: To translate in silico predictions into physical validation protocols and provide clean data loops to train future models, iteratively…

…The SDM will work side-by-side with the applied scientists, economists, and data scientists who develop these models, translating research-grade prototypes into…

…scale data analysis, machine-learning model development, model validation and serving. • Research new and innovative AI/ machine learning approaches. • Recruit Applied Scientists to the…

…risk mitigation strategies - Identify dependencies and enable seamless collaboration between technical teams building AI/ML models, product managers defining requirements, data scientists and economists…

…Support and evolve the practice of embedding Data Scientists within product development teams, simultaneously maintaining strong stakeholder connection and function cohesion. Own the design…

…Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers, and senior leaders is an important part of the Solutions Architect role, and…

…We’re looking for a senior Data Scientist to own the analytical strategy for enterprise knowledge-worker adoption. As ChatGPT Work and Codex become…

…Credible with engineers and scientists across simulation, evaluation, ML, and validation; you reason about how data, simulator fidelity, and metric design propagate into release…

…of Product Data Scientists Lead the team to execute company vision at scale, owning all team outputs across optimizations, modeling, and data analysis Analyze…

…Lead ML Model Lifecycle — Oversee end-to-end model development, deployment, validation, monitoring, and retraining strategies to ensure production-grade ML performance. Set Data…

…Collaborate with AI engineers and data scientists to understand model capabilities, limitations, and optimal UX patterns and translate that understanding into clear interaction models…

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

…You'll draft the PR/FAQs for the most strategic launches, dig into agent traces and eval results alongside your applied scientists, and pressure…

…Engaging with internal developers, researchers, data scientists, and senior leaders is vital and offers opportunities to work with diverse partners and challenges. What you…

…data scientists to guide them in accelerating or optimizing their projects using accelerated infrastructure and enterprise-grade software, across a variety of programming models…

…Collaborate with peer scientists and partner organizations to align on strategic algorithmic inputs * Research and deliver innovative techniques for ranking, simulation and evaluation systems…

…Applied scientists partner with application teams to deliver algorithms and models that drive efficiency, innovation, and growth. They identify business needs and define strategies…

…degree - Experience with statistical models e.g. multinomial logistic regression - Experience working as a Data Scientist - Experience with data scripting languages (e.g. SQL…

…how data center design documentation is created, validated, and delivered at scale. You will work at the intersection of Building Information Modeling (BIM), generative…

…3D generative models, query-based transformers, masked autoencoder-style completion, and scalable pseudo-ground-truth data generation. As a Senior Applied Scientist, you will…

…The platform will combine real-time operational data, digital models, simulation, graph technologies, and AI agents to help customers understand complex systems, predict outcomes…