Oracle Cloud Infrastructure is seeking a Senior Manager, Software Development to lead engineering work for foundational OCI security and trust services. This leader will…

…combine product, distribution, and infrastructure components in a single relationship Understanding of foundation model capabilities and how they translate into partner products, with enough…

…experience in technology sales who thrives in outbound prospecting, account research, and consultative discovery conversations. Experience selling into data, analytics, cloud, or infrastructure teams…

…to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and…

…develop data infrastructure and analytics capabilities for AGS AI and Automation initiatives. - 3+ years of data engineering experience - Experience with data modeling, warehousing and…

…the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that…

…parallel per-service logging, correlation, and redaction mechanisms in use today The span data model for agent trajectories — prompts, tool calls, plan updates, outcomes…

…You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel…

…analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics…

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

…Develop training programmes, playbooks, and certification paths for the ProServ team to deliver foundational Growth & Monetization advisory. Serve as an internal escalation point and…

…domain experts, strengthening hiring pipelines in AI/ML, data engineering, security, and infrastructure; creating retention mechanisms anchored in technical growth and impact; and raising…

…As a member of the Infrastructure organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in…

…As part of the AWS Infrastructure organization focused on building the foundation for the world's innovation, Data Center Community (DCC) includes design, engineering…

…interpret talent data and organizational trends. - Exceptional stakeholder management and executive communication skills. - Experience developing manager enablement and training programs. - Ability to influence senior…

…LLM eval LLM post-training Agentic workflow in prod environment Trust & Safety Expertise in solving complex ML modeling, data, and infrastructure challenges – with a…

…Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We…

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

…experience in technology sales who thrives in outbound prospecting, account research, and consultative discovery conversations. Experience selling into data, analytics, cloud, or infrastructure teams…

…the gap between model architecture innovation and next-generation hardware design. Operating at the intersection of AI research and infrastructure engineering, you will define…

…Build infrastructure for experiment tracking, metadata management, lineage, artifact versioning, model registries, and reproducibility. Partner with ML engineers and researchers to improve experimentation velocity…

…data quality, and model evaluation. You communicate clearly across research, engineering, and product teams. You are excited by 0→1 ownership and ambiguity in…

…data foundation, model development, and the delivery of insights into products and internal tools. · Set technical direction for the team's machine learning models…

…infrastructure, including multi-node training and large-scale data pipelines. Published research or open-source contributions in relevant areas such as generative models, synthetic…

…CTOs, ML researchers, ML infrastructure teams, platform leaders, and developer communities. Identify and accelerate high-value workloads such as foundation model training, fine-tuning…