…You will work closely with scientists, program facilators, and partner engineering teams to translate research into production systems that operate reliably at fleet scale…

…s computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents…

…wafer stress and warpage, thin-film residual stress, thermo-mechanical reliability, thermal budget modeling, process-induced deformation, fracture and delamination, and coupled heat-stress…

…Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama…

…You will work closely with researchers and ML engineers to understand their infrastructure needs and build scalable solutions for model development, training, and deployment…

…ambiguous research goals into production-ready systems that accelerate model development and improve evaluation quality. This is an opportunity to shape the infrastructure behind…

…machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions…

…AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities…

…platform infrastructure that operators and fellows rely on every day. - Lead quality engineering systems that directly improve AI output reliability, evaluation accuracy, and benchmark…

…We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and…

…infrastructure, model interoperability) that block progress across multiple workstreams; propose and drive solutions proactively * Influence technical direction beyond the immediate team mentor scientists, raise…

…to take a model from research prototype to production deployment — including performance profiling, latency optimization, and working within serving infrastructure constraints - Practical experience with…

…integrating, and sustaining cryogenic mechanical systems, packaging solutions, and laboratory infrastructure that support reliable experimentation, scalable system integration, and disciplined transition from research concepts…

…across Amazon’s infrastructure, including advanced persistent threats. You’ll work with software development engineers, security engineers, and other applied scientists across multiple teams…

…Research and develop novel methods to advance the capabilities of LLMs. - Design and implement tooling and infrastructure for training, evaluating, and analysing AI models…

…and model serving. - Develop and scale our LLM platform, including provider integrations, orchestration, observability, and controls for cost, latency, and reliability. - Build evaluation infrastructure…

…What You'll Do As a Senior Applied Research Scientist, you will own significant parts of the agent harness — the infrastructure layer that enables…

…and automation can eliminate entire categories of engineering work, and drive adoption of AI-native workflows across wearables engineering teams Collaborate with research scientists…

…In this crucial role, you will build and optimize large scale data infrastructure to drive business decisions and machine learning research. WHAT YOU’LL…

…turning a promising research result into a model that ships reliably, serves at scale, and keeps its accuracy and latency promises under real production…

…reduce hardware costs and improve item identification accuracy - Design and build edge inference and deployment infrastructure that moves computer vision models from experimentation to…

…and scaling AI/ML platforms (MLOps, model training infrastructure, data pipelines) from zero-to-one - Experience working at the intersection of AI research and…

…discovery, scoping, technical design, implementation, rollout, and iteration. - Balance speed and quality by making thoughtful tradeoffs, ensuring maintainability, and building with operational reliability in…

…and scaling modern data infrastructure. This is a full-time, hybrid position based out of our Austin, TX office. Our hybrid work model offers…

…Collaborate with ML researchers, software developers, and product managers across Apple to translate product requirements into scalable, reliable, and efficient model evaluation infrastructure. Bachelor…