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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff Research Scientist, FAIR (RL / LLM's)”. A match may be a passing mention rather than the job itself. Titles only.
12 roles
Meta is seeking Research Scientists to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in…
…RL agents) in both cloud environments and air-gapped, offline tactical edge networks. You will be a force multiplier for our AI Research Scientists…
…with world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and…
…Key job responsibilities Model Architecture & Inference Co-Design • Partner with research scientists to make model architectures servable from inception — surfacing the latency, memory, and…
…Language Models (LLMs). Key job responsibilities As an Applied Scientist with the FAI team, you will support the development of RL Gyms, assess their…
…bring scientific innovations into production. - Stay current with the latest research in LLMs, RL, and agent-based AI, optimization and translate findings into practical…
…About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the…
…As an AI research scientist, you'll be at the center of that work. You'll drive a high-impact research agenda focused on…
…the intersection of research innovation and product delivery. - Strong publication record or demonstrated thought leadership in relevant areas (LLMs, NLP, RL, conversational AI, recommendation…
…training or adapting large-scale models (LLMs, multimodal, or MoE systems), with strong grounding in distributed training, RLHF/DPO, retrieval and knowledge integration, evaluation…
…Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference…
…Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust…