Top Artificial Intelligence Jobs

Lead product for a retail sales data platform: define requirements, prioritize backlog, collaborate with stakeholders and engineering, support legacy-to-modernization migrations, use SQL for analysis and validation, monitor product performance, and drive delivery in an Agile environment.

Work as a Perception/Robotics intern building perception, mapping, and autonomy systems for outdoor field robots. Tasks include sensor fusion, 3D mapping, model training, localization, navigation, edge optimization, tool development for data collection/labeling, and deploying/testing systems on real robots in challenging outdoor conditions.

Work directly with customers to design, deploy, and integrate end-to-end AI evaluation pipelines. Curate data, define annotation schemes, set up LLM-based judges, run initial experiments, produce actionable results, and translate technical systems into practical workflows for users.

Develop, maintain, and troubleshoot Java-based applications. Write clean, testable code, collaborate with team members, and participate in design and code reviews.

Lead cross-functional product teams to define and execute UX research and product strategy, from concept through post-launch. Conduct qualitative and quantitative research, synthesize insights to inform design and development, manage backlog, budgets, timelines, and performance metrics, and implement AI tools to support product innovation.

Architect and build ML systems for generative AI: design training pipelines, evaluation and serving infrastructure, train and deploy diffusion and LLM models, ensure production reliability, data pipelines, and set technical direction and quality standards across the AI team.

The role involves building the global Energy business by executing commercial strategies, closing large deals, maintaining executive relationships, and leading a global team in a collaborative environment.

The Staff ML Engineer will define and build ML capabilities, focusing on production systems, strategy, and infrastructure in a cybersecurity context.

Lead positioning, messaging, and end-to-end launches for two AI-native products serving FinOps and platform engineering. Build GTM motions, sales enablement, pricing input, and field assets; run customer research and competitive analysis; partner with demand gen and content; start as a hands-on PMM and scale the function.

Serve as a trusted advisor for enterprise customers to drive adoption, retention, and growth. Manage onboarding, troubleshoot issues, triage and escalate technical problems, deliver training, monitor usage, and collaborate with sales, product, and engineering to improve customer outcomes and onboarding processes.