As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.
As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers.
You will act as an organizational architect and tech lead, dynamically embedding yourself into the highest-priority projects across the org to guarantee execution, unblock teams, and successfully ship mission-critical initiatives.
The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments.
Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges.
The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments.
Scale partners with top AI labs to deliver high-quality data and accelerate GenAI progress. This role focuses on LLM post-training, offering a chance to work on cutting-edge projects in dynamic locations.
Scale AI is hiring a Machine Learning Research Scientist/Engineer for its ACE team to research data types for state-of-the-art AI agents and translate advancements into scalable solutions.
As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products.
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