…Mentor and guide other AI engineers and scientists, fostering a culture of continuous learning. Required Qualifications, Capabilities, and Skills: Master’s or PhD in…

…Build, mentor, and grow a team of research scientists and research engineers Technical Strategy & Execution: Oversee work across the full LLM post-training stack…

…You'll also partner closely with our Reinforcement Learning Environments team, blending taxonomy research with traditional UXR to co-develop model training techniques. Responsibilities…

…deployments to distributed backend infrastructure, make critical trade-offs between performance, modularity, and maintainability at scale, and mentor senior engineers across the C2 organization…

…You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world…

…with machine learning infrastructure, such as training pipelines, GPU/accelerator workloads, or experiment orchestration - Experience improving the productivity of a research or science team…

…Design, implement and operate high impact machine learning models Partner closely with cross-functional teams, including researchers, engineers, data scientists, and product managers, to…

…partners and the world’s top educational institutions - Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC…

…AS A STAFF RESEARCH SCIENTIST YOU WILL: - Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like…

…Able to reason about how detection models and signals behave, and to hold your own in technical conversations with engineers and data scientists - Systems…

…Develop automated detection systems integrated into Amazon’s security infrastructure. Research and prototype new security solutions, evaluating design approaches for technical feasibility. A day…

…with different backgrounds and training: mathematicians who became engineers, systems programmers who fell in love with type theory, researchers who wanted more than approximate…

…production infrastructure — and the afternoon guiding fellow scientists through a hard optimization or stochastic-modeling problem, reviewing an experiment design, or aligning engineering partners…

…As an applied scientist here, you'll partner directly with engineers who build the production infrastructure for your models, and with safety domain experts…

…scientists and engineers in a deeply collaborative, fast-paced environment where intellectual ambition meets real-world impact. Responsibilities Conduct foundational and frontier research in…

…research experience - 3+ years of scientists or machine learning engineers management experience - PhD, or Master's degree and 4+ years of applied research experience…

…You'll collaborate closely with applied scientists, data engineers, and security engineers to translate research into scalable, production-grade ML services on AWS. Key…

…Engage with government agencies, research institutions, universities, and enterprise customers to architect and deploy AI solutions for scientific computing, weather forecasting, engineering simulation, and…

…Lead AI Infrastructure Vision: Architect end-to-end training, fine-tuning, and low-latency inference platforms, including centralized RAG architecture, vector databases, and enterprise…

…scientists, data analysts and product managers Responsibilities Build tooling and services that power the machine learning and generative AI powered solutions in production Training…

…GPU infrastructure for training or inference at scale - Distributed storage systems in production, such as Ceph - Having served researchers or data scientists as platform…

…This role follows a hybrid work schedule and reports to a Principal Research Scientist. You will : Conduct comprehensive experimentation to train and deploy state…

…This is a high-leverage, high-ownership role at the intersection of Research, Engineering, and Operations. You will scale our data operations that is…

…You’ll work closely with experienced machine learning engineers, data scientists, product managers, and software engineers to develop models, run experiments, and deploy reliable…

…You’ll gain hands on experience with real data, production infrastructure and real deadlines, while learning from and working alongside the researchers and engineerings…