…Prior experience in advertising industry, federated learning and privacy-preserving ML techniques. Recognized as a technical leader and mentor, supports the growth of engineers…

…to successfully deploy on Amazon ML Accelerator. - Develop strong partnership with engineering organizations, serving as the customer advocate, to help drive product roadmap working…

…Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives. Qualifications…

…Collaborate closely with ML engineers, application engineers, product teams, and customer support teams to drive the development of new features and scalability initiatives. Qualifications…

…connected to Austin-based engineering and program leadership. MLOps Program Ownership: Own end-to-end execution of ML infrastructure and operations programs — including data…

…As Staff Product Manager, you will own product strategy across four connected areas: the Ops case-management and investigation platform, the ML/AI alert…

…establish standard-setting engineering practices from advanced prototyping to production deployment. You Have: Master’s degree in Computer Science, AI, ML, or a related…

…Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing…

…Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing…

…Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing…

…administration/ management, public health, healthcare information management, computational biology, bioinformatics, genomics, biomedical engineering or associated domains - Experience with AWS services, particularly in AI/ML…

…AWS Hardware Engineering builds and maintains the servers behind the world's largest cloud. Our team focuses on GPU-accelerated platforms — the infrastructure that…

…but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - GenAI and Data Analytics practitioner. Early adopter of new technologies. Amazon is…

…migration paths, documentation, and adoption, so capabilities land and stick. - Partner with tooling customers across engineering, ML infrastructure, MLOps, and data science to ensure…

…SKLearn, XGBoost, PyTorch, Tensorflow, MLflow is a plus. - Previous experience in building batch and real-time ML serving systems preferred. - Have built a roadmap…

…scale ML training and systems infrastructure talent tends to come from Experience hiring for hyperscale cluster infrastructure, research and platform infrastructure, privacy infrastructure, or…

…and scaling GenAI infrastructure across major cloud platforms (e.g., AWS, GCP), leveraging advanced cloud services (compute, distributed storage, ML frameworks) to optimize model…

…and scaling GenAI infrastructure across major cloud platforms (e.g., AWS, GCP), leveraging advanced cloud services (compute, distributed storage, ML frameworks) to optimize model…

…What Will Help You Stand Out (Nice to Haves) Experience building systems that leverage LLMs, autonomous agents, or ML models. Hands-on experience with…

…Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar. Stay current on emerging AI/ML technologies and security threats…

…agent orchestration patterns Experience with machine learning concepts, model evaluation, or ML infrastructure Experience building developer experience platforms, internal tooling, or API gateways Familiarity…

…15 years of experience as a software engineer and architect. Experience with ML infrastructure, frameworks, algorithms and tools. Experience in distributed storage and file…

…As an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize…

…and backend teams to build power models, estimate power for AI/ML workloads. Writing specific targeted tests to measure power and performance of the…

…Integrate AI/ML and LLM technologies into internal engineering workflows where applicable. Drive software architecture discussions, technical design reviews, and best practices. Mentor junior…