…About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on…

…following fields - World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning - VLA post-training, reinforcement learning - Physics-aware reconstruction, deformable…

…and robotics products WE’RE LOOKING FOR SOMEONE WHO HAS: - Strong research record in the fields of RL and VLA post-training for autonomous…

…training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build…

…scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving…

…The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About…

…We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and…

…Champion partner requirements, architectural patterns, product gaps, and developer feedback with NVIDIA product and engineering teams. Partner with solutions architects, product managers, engineering, sales…

…You will work with researchers, engineers, product teams, infrastructure teams, and safety/alignment partners to decide what should go into major model runs, measure…

…About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning…

…Building custom AI applications for government Providing high-quality training data for research institutions building LLMs from scratch Partnerships, upskilling, and advisory About the…

…You'll be primarily responsible for ML personalization, training speech models, and using fine-tuning and RL techniques to improve LLMs. WHAT ARE WE…

…Our engineers understand deep-theoretical research, and our researchers ship production systems. - Learns fast and adapts: We work across modalities that evolve weekly. We…

…hardware level, and integrate research ideas into production code that delivers measurable speedups in real pipelines (training, post-training, and inference). Our team is…

…our app via analysis, research, and by leveraging granular user action and sequence datasets. Partner: With product and engineering, drive technical frameworks and science…

…As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in foundation models to…

…Work closely with peer architecture teams and product management to guide development of the products. Keep abreast with emerging trends and research in deep…

…model training and evaluation. Ways to stand out from the crowd: Prior experience working with product managers and engineering teams to transfer research into…

…Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability…

…Expertise in deploying large-scale training and inferencing pipeline Experience with pre-training, post-training of transformer-based architectures for language or vision A…

…You’re comfortable using AI tools for research and building You have experience building AI products and evals including manual evaluations, golden data sets…

…generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for…

…Implement automated post-deploy validation to ensure correctness is consistent across platforms. Work closely with ML researchers to productionize new safety techniques, translating experimental…

…a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integrating embeddings into frontier models. - Drive innovation in dense…

…art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one…