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This Senior Staff Software Engineer role leads the architectural strategy for AI developer tools and cloud infrastructure at Google. The position involves designing distributed systems, agent communication protocols, and sandboxed runtimes to support large-scale AI development.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Teach live AI/ML sessions, review student projects, and mentor engineers transitioning into AI roles using production-grade systems and frameworks.
Machine Learning Engineer – Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a…
Lead AI/ML projects end-to-end for an insurtech medical synthesis product, designing and deploying LLM-driven features using Python, RAG, embeddings, and hybrid ML approaches.
This role involves designing next-generation search and conversational AI experiences for LinkedIn's global platform. The designer will collaborate with engineering and AI research teams to create intuitive, scalable interfaces while applying systems thinking to complex technical architectures.
Build and deploy AI models (LLMs, speech, personalization) to enhance Duolingo’s learning experience, including training, fine-tuning, and monitoring systems.
Lead a team of engineers building AI/ML and data analytics solutions for Army defense supply chain risk management programs, working with Python, SQL, Snowflake, and data pipelines in a hybrid capacity.
The Senior Machine Learning Engineer will design and implement end-to-end LLM and generative AI pipelines for production environments. The role involves working with cloud platforms, MLOps, and various AI frameworks to build scalable, high-quality AI solutions.
Principal Product Manager at Vultr leads AI infrastructure engagements for strategic customers, translating complex requirements into technical solutions across GPU clusters, networking, and storage.
The Staff Product Manager for OpenTelemetry Experience will lead the strategy and roadmap for instrumenting workloads and ingesting telemetry data into Grafana Cloud. This role focuses on simplifying the user journey from initial setup to actionable observability, collaborating across engineering and product teams in a fully remote environment.
The Staff Product Manager for OpenTelemetry Experience will lead the strategy and roadmap for instrumenting workloads and ingesting telemetry data into Grafana Cloud. This role focuses on improving the end-to-end user experience for developers and automated agents, ensuring seamless setup and high-quality data observability.
The Staff Product Manager for OpenTelemetry Experience will define the strategy and roadmap for instrumenting workloads and ingesting telemetry data into Grafana Cloud. This role focuses on improving the end-to-end user journey for OpenTelemetry adoption, collaborating across engineering and product teams to ensure seamless, high-quality data integration.
The Staff Product Manager for OpenTelemetry will define the strategy and roadmap for instrumenting workloads and ingesting telemetry data into Grafana Cloud. This role focuses on improving the end-to-end user experience for developers and automated agents, ensuring seamless setup and high-quality data observability.
The Staff Product Manager for OpenTelemetry Experience will define the strategy and roadmap for instrumenting workloads and ingesting telemetry into Grafana Cloud. This role focuses on simplifying the user journey from initial setup to actionable observability, collaborating across engineering and GTM teams in a fully remote environment.
The Staff Product Manager for OpenTelemetry Experience will define the strategy and roadmap for instrumenting workloads and ensuring high-quality telemetry data flows into Grafana Cloud. This role involves cross-functional collaboration to improve onboarding, configuration, and troubleshooting for developers and automated agents.
As the first ML hire, you will build and own the clinical NLP and LLM-based extraction pipelines to transform unstructured health records into structured data for research. You will lead the full lifecycle of these models, from data strategy and annotation to production deployment and evaluation.
Build and deploy AI/ML tools, including fine-tuning LLMs, to enhance cybersecurity and national security operations in secure environments.
Builds and deploys AI/ML features (LLM-powered review categorization, summarization, and semantic search) for an app review management platform, optimizing for quality, latency, and cost.
The Account Structure Intelligence team at Google builds LLM-powered extraction engines to transform unstructured web content into structured data for advertising. Engineers in this role manage end-to-end ML workflows, including model training, fine-tuning, and production pipeline development.
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