- MongoDB (Palo Alto, CA)
- …applications by helping them modernize legacy workloads, embrace innovation, and unleash AI . Our industry-leading developer data platform, MongoDB Atlas, is the ... like Samsung and Toyota, trust MongoDB to build next-generation, AI -powered applications. Atlas Search is a cloud ...The team will be developing scalable services to deliver ML capabilities like embedding, data processing to build RAG… more
- LinkedIn (Mountain View, CA)
- …of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of ... models and large scale feature engineering infra for all AI use cases from recommendation models, large language models,...will build compute efficient infra on top of native cloud , enable GPU based inference for a large variety… more
- LinkedIn (Mountain View, CA)
- …of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of ... models and large scale feature engineering infra for all AI use cases from recommendation models, large language models,...will build compute efficient infra on top of native cloud , enable GPU based inference for a large variety… more
- MongoDB (San Francisco, CA)
- …+ Experience with AI platforms (eg, OpenAI, Anthropic, Azure AI , AWS AI , Google Cloud AI ) and integration with IT systems (ServiceNow, Workday, ... applications by helping them modernize legacy workloads, embrace innovation, and unleash AI . Our industry-leading developer data platform, MongoDB Atlas, is the… more
- NVIDIA (Santa Clara, CA)
- …and scaling of our software systems. This role will give an opportunity to collaborate with Cloud , AI / ML & Generative AI workforce in a multifaceted and ... a deeply technical, creative, and hands-on Senior Staff full-stack developer to build the next generation AI ...AI based solutions. + Background with Kubernetes, Openshift, ML ops as well as e xperience with Model… more
- NVIDIA (Santa Clara, CA)
- …and scaling of our software systems. This role will give an opportunity to collaborate with Cloud , AI / ML & Generative AI workforce in a multifaceted and ... hire a deeply technical, creative, and hands-on Principal full-stack developer to build the next generation AI ...of proven experience building sophisticated applications and APIs in Cloud and hybrid cloud environments at large… more
- BMO Financial Group (CA)
- … Cloud Databases, data warehouse and analytics, Machine Learning, Developer Tools, Security and identity management + Proven and demonstrable experience ... seeking an enthusiastic and passionate professional for a Senior Cloud Architect position. With extensive experience in AWS and...Python + Solid background in data related technologies and AI / ML workflows + AWS Sage maker Studio… more
- NVIDIA (Santa Clara, CA)
- …ensure responsiveness to critical priorities + Executing and delivering complex AI / ML infrastructure programs at scale ideally in cloud , hyperscaler, or ... are seeking an experienced and talented technical program manager for NVIDIA's DGX Cloud . We need passionate, hard-working, and creative people to help us deliver… more
- LinkedIn (Mountain View, CA)
- …of scaling large models together. The team is responsible for scaling LinkedIn's AI model training, feature engineering and serving with hundreds of billions of ... models and large scale feature engineering infra for all AI use cases from recommendation models, large language models,...will build compute efficient infra on top of native cloud , enable GPU based inference for a large variety… more
- TEKsystems (Irvine, CA)
- …Development + Hire and mentor a diverse engineering team across frontend, backend, AI / ML , and DevOps + Foster a collaborative, user-centric engineering culture + ... Python, Go, Java (Spring Boot) + Deep experience with AI / ML integration, especially LLMs and agentic platforms...integration, especially LLMs and agentic platforms (LangGraph, n8n) + Cloud mastery: AWS, GCP, or Azure; Docker, Kubernetes +… more