Research and develop multimodal conversational models for real-time avatars, improving verbal and non-verbal behavior through fine-tuning and conditioning, and partnering with Applied ML to bring prototypes into production.
Remote Research Engineer Jobs
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61 total jobs
5 new jobs this week
Anthropic Fellows Program, ML Systems & Reinforcement Learning
Conduct empirical AI research across ML systems and reinforcement learning, building and evaluating models, infrastructure, and environments while working toward public research outputs with researcher mentorship.
Build and extend simulation frameworks for machine-learning systems on unconventional hardware, integrating physics-based models and GPU-accelerated tools to support algorithm–hardware tradeoffs and cross-layer optimization.
Staff Research Engineer - Interactive Avatars
As a Staff Research Engineer, you will leverage your expertise in machine learning and diffusion models to develop innovative AI video agents that interact like humans.
Member of Technical Staff, Research Engineer
Advance research on multimodal world models by developing training methods, data strategies, and evaluations, then bringing model capabilities from research prototypes into production.
As a Research Engineer Intern, you will contribute to the development of state-of-the-art LLM and multimodal models, optimizing training frameworks and collaborating with teams across Tether.
Machine Learning Researcher / Engineer (Foundation Models)
Conduct research and hands-on experiments on attention-based foundation models, including distributed training, architecture improvements, and designing new tasks and benchmarks to advance the project.
Staff Research Engineer, Model Efficiency
Develop and deploy techniques that improve the speed and efficiency of foundation-model inference, advancing model architecture, decoding algorithms, and GPU execution without compromising model quality.
Member of Technical Staff, Integration/RL Team (Research Engineer)
Develop scalable software, tools, and algorithms for LLM post-training, optimizing training performance and advancing large-scale distributed reinforcement learning in collaboration with research and engineering teams.
Research Engineer/Research Scientist, Pre-training
As a Research Engineer on the Pre-training team, you will develop next-generation large language models, balancing cutting-edge research with practical engineering solutions.
Bachelor- oder Masterarbeit: Asset Administration Shells für die digitale Fabrik der Zukunft
Du recherchierst Schnittstellen und Standards zur Maschinendatenerfassung, entwickelst eine Typisierung von Asset Administration Shells und pilotierst den Schnittstellenstandard in einer realen Produktion.
Design multimodal datasets, run controlled training experiments, and build scalable data pipelines that improve world models across tasks and domains, shaping capabilities from creative tools to robotics.
Research Engineer, Knowledge Team
Design information architectures for LLMs, train models to use them, build challenging knowledge-base evaluations, and develop advanced agentic search capabilities.
