Build, profile and optimize our training and inference framework.

Build and deploy enterprise-grade Voice, Chat AI agents and AI Copilot.

Contribute to the design, training, and evaluation of machine learning models that power Alloy’s fraud detection capabilities.

Leverage techniques in generative AI, computer vision, and reinforcement learning to improve Scale's products.

Creating custom AI applications to impact millions of citizens.

Conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale.

Building the engine for the next generation of enterprise software

Design and deploy machine learning models to power core customer-facing features.

Design & development ML models that power fraud detection and prevention at scale.

Train and deploy large-scale Machine Learning models in production systems to improve the values our product provide to our customers.

Establish, improve and scale foundational team-level and program-level processes for Generative Modeling teams.

Design, develop and optimize AI-driven systems for Web3 projects.

Design, build and optimize the full backend pipeline for AI agents.

Implementing deep-learning-based classification systems for identifying, characterizing, and classifying various farm-related objects using images and videos.

Conduct innovative research on deep learning for price forecasting.

Studying the data landscape needed to advance intelligent, adaptable AI agents.

Design, train, and deploy custom AI applications for the public sector.

Transform cutting-edge AI research into robust, production-ready features.

Drive innovations in the development and optimization of distributed training frameworks.

Develop systems to identify, isolate, and recover from failures in large-scale distributed training workloads.