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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.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Research Engineer, Post-Training Inference”. A match may be a passing mention rather than the job itself. Titles only.
78 roles across 81 listings · show every listing · page 1 of 4
…Mentor research scientists and engineers on the team, upleveling internal capabilities in post-training and agentic AI. PhD in Computer Science, Machine Learning, Natural…
…post-training custom models. The focus is on measurable improvements to the overall agent. This role also requires a understanding of production engineering and…
…researchers and engineers across the full machine learning lifecycle, from architecture exploration and large-scale training to post-training optimization and high-performance inference…
…a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Prior experience in data science, product analytics within a…
…Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our…
…and comfortable working with engineering teams to understand product capabilities. - Knowledge of AI/ML infrastructure, model training, and post-training concepts. - Familiarity with developer…
…Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference. Strong software engineering skills in Python, C…
…key workloads with ultra high-speed inference. Key Responsibilities - Work with architects, designers, post silicon and software engineers to ensure a high-quality design…
…Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with…
…Deep, current taste in LLM research. You understand how a model is trained from scratch — data, tokenization, architecture, pretraining dynamics, the full post-training…
…Very few researchers get to run this loop, form a hypothesis about model behavior, commission the exact data to test it, post-train, and…
…scale and reliability required for frontier AI training and inference. We partner closely with datacenter operations, research, and infrastructure teams to deliver high-leverage…
…We are hiring a Staff Research Scientist, Physical AI for our AI Research team. You will build the next-generation training and learning platform…
…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…
…Own intake, triage, routing and request-quality standards for accelerator-capacity requests across multiple engineering and research teams. Run quarterly and annual demand forecasts…
…powerful pre-trained models into aligned and general agents. - Drive research and engineering initiatives that push the frontier of post-training, from data curation…
…Design, develop, and evaluate next-generation AI models and systems, from pre-training and post-training methodologies to novel architectures and scalable inference solutions…
…This is hands-on engineering with direct, measurable impact on Amazon's security posture. The ideal candidate has strong software engineering fundamentals, experience deploying…
…Experience scaling AI systems across distributed infrastructure, including multi-node training and large-scale data pipelines. Published research or open-source contributions in relevant…
…post-training, optimization, evaluation, deployment, and model serving. Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems…
…Provide feedback and collaborate with engineering, product, and research teams. Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms. What we need…
…Partner effectively with engineering and research teams across Waymo to deploy new models, and implement efficient workflows for model development and continuous training on…
…key workloads with ultra high-speed inference. Key Responsibilities - Work with architects, designers, post silicon and software engineers to ensure a high-quality design…
…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…
…debuggable - Comfort working in Python on AWS with Postgres; experience with Temporal or similar workflow engines is a plus You're likely someone who…