AI, ML & Data Research Jobs

Senior software engineering role on the Splunk Observability Cloud team focused on researching, developing, and deploying scalable ML systems for streaming anomaly detection, predictive intelligence, and automated root-cause analysis. The position drives integration of Generative and Agentic AI features, provides technical leadership, and builds enterprise-grade, cloud-native observability solutions.

Lead the design, development, and production deployment of cloud-native AI solutions and agentic systems at enterprise scale on Google Cloud. Drive architecture, implement AI agents and prompt/context engineering, use AI code assistants to accelerate delivery, and mentor engineering teams to build scalable, reliable APIs and platforms.

Microsoft is hiring a Principal Applied Scientist to lead research and engineering at the intersection of vibe coding, low-code, and Copilot, driving rapid experiments and building LLM-powered agents. The role focuses on advanced model fine-tuning (including RLHF), evaluation frameworks, and integrating models with external tools to deliver AI-native enterprise applications at scale.

Join Exatechinc as an AI Engineer to design and deploy autonomous AI agents and RAG pipelines using Cursor AI. You'll integrate APIs, vector stores, and third-party tools to build agentic workflows, scalable model access, and AI-driven product features in a hybrid Austin role.

Lead design and delivery of cloud-native, agentic AI systems at enterprise scale, building and operating AI agents, APIs, microservices, and production MLOps on Google Cloud. Mentor and manage a cross-functional engineering team while driving technical strategy, reliability, and observability using AI-assisted development tools.

Staff Data Engineer leading Bestow's data platform strategy and architecture, responsible for designing scalable data systems, APIs, and MLOps infrastructure on cloud platforms. The role mentors engineers, drives data governance and reliability, and partners across product and engineering to deliver production-grade data solutions.

Peloton is hiring a Staff Enterprise AI Engineer to be the founding engineer for an Enterprise AI Platform, architecting infrastructure, security, and orchestration to enable safe, scalable deployment of AI agents across the company. The role is a player/coach position: build the core platform (infrastructure, memory stores, integrations, eval pipelines) while mentoring engineers and defining standards for safe, cost-efficient AI usage.

Lead Data Engineer responsible for designing, building, and maintaining scalable B2B marketing data pipelines and data models to support marketing measurement, targeting, and reporting. The role leads cross-functional engineering efforts, ensures data quality and reliability, and automates enrichment and analytics workflows.

Senior Data Engineer responsible for designing, building, and maintaining large-scale batch and real-time data pipelines across cloud platforms to support analytics, reporting, and AI/ML use cases. The role focuses on translating business requirements into technical specifications, implementing ETL/ELT processes, and applying automation and AI-assisted development (vibe coding) to accelerate delivery.