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Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

As a senior Product Designer, you'll lead the design process, create innovative interactions, and collaborate on product strategy, transforming concepts into shippable features.

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

Provide high-impact executive support to Head of Marketing and Head of Sales by managing complex calendars, global travel, confidential communications, and building administrative systems to optimize GTM operations. Coordinate cross-functional meetings and act as a strategic gatekeeper to maximize executive time and efficiency.

The Product Marketing Manager will craft narratives for AI products, develop go-to-market strategies, drive product launches, and build partnerships to enhance market presence.

Lead global compute capacity and platform strategy for training and inference: plan multi-year capacity, manage vendor/cloud partnerships, direct infrastructure and datacenter teams, optimize cluster efficiency (>50% MFU), oversee large capital deployments, and serve as executive liaison to silicon vendors and hyperscalers to enable world-model and robotics workloads.