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Build scalable production systems and research tools for frontier model and LLM training at Cohere. This hands-on role bridges advanced AI research with reliable, high-performance engineering.
Build predictive world models that simulate how driving and robotics scenes evolve, using generative modeling and large-scale multimodal deep learning. You will advance autonomous-driving and robotics policy training through world-model research, evaluation, and implementation.
Build and optimize large language model training and post-training systems at Lightning AI, improving model quality, efficiency, and production readiness. The role combines frontier model research, PyTorch engineering, distributed systems, and customer-informed platform development.
Drive mid-training research for frontier models that develop scientific reasoning, from curating and generating training data to building evaluations and running large-scale experiments. You’ll work across data, model training, and scientific domains to advance AI for discovery.
Join Adyen’s San Francisco AI engineering team to turn frontier AI research into production-grade systems serving global fintech at massive scale. This autonomous, hands-on role combines advanced AI exploration, strategic influence, and practical engineering impact.
Join Mirage as an early Research Engineer building the high-performance systems behind generative video models. You’ll combine ML research with distributed systems and inference optimization to deliver fast, production-ready video generation.
Join Waymo’s AI Foundations team as a Staff ML Engineer researching and deploying multimodal and world-model perception systems for autonomous vehicles. You’ll build scalable training, inference, evaluation, and optimization infrastructure across camera, LiDAR, and radar data.
Build and experiment with machine learning models at the intersection of vision, language, speech processing, and game development. This paid Epic Games internship offers research experience across player safety, game agents, content generation, developer tools, and user experience.
Advance agentic LLMs and reinforcement learning for an agentic code generation product by designing experiments, building agents, curating datasets, and creating rigorous evaluations. The role offers a research-to-production path, partnering with engineers to ship impactful improvements to customers.
Research and build machine-learning systems that enable robotic agents to perceive, reason, and act in the physical world. You will develop foundation models, learning algorithms, simulation environments, and real-world robotic capabilities across a broad Physical AI research program.
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