…related technical field OR Bachelor's Degree in Computer Science or related technical field OR equivalent experience. Experience designing, deploying, and operating AI or…

…Apply Responsible AI principles across design and delivery, incorporating security, privacy, governance, and compliance controls into production‑grade engineering workflows. AI-Enabled Application Development…

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise , we…

…We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader…

…Author and manage detailed technical specifications Collaborate with product owners, architects, AI agents and other engineers to define and implement technical solutions Coach and…

…Author and manage detailed technical specifications Collaborate with product owners, architects, AI agents and other engineers to define and implement technical solutions Coach and…

…Author and manage detailed technical specifications Collaborate with product owners, architects, AI agents and other engineers to define and implement technical solutions Coach and…

…As a Senior Principal Software Engineer at JPMorganChase within the CDAO AI/ML Data Platforms Team, you provide deep engineering expertise and work across…

…heterogeneous computing, AI/ML frameworks, or accelerator programming models. Familiarity with language design, metaprogramming, or program transformation techniques. Experience contributing to technical standards or…

…Operationalize Okta’s AI risk and governance framework—addressing training data protection, model risk management, responsible AI principles, and alignment with emerging frameworks (NIST…

…Embed observability, monitoring, drift detection, and performance metrics into production AI systems. Ensure Responsible AI principles are applied in all AI solutions. Balance governance…

Shape the future of AI/ML at JPMorganChase — where innovation meets enterprise-scale impact. If you're a Senior Lead Software Engineer who takes…

…providing guidance that influences product and engineering roadmaps Mentor and develop principal and senior ML engineers, elevating the technical capabilities of the organization through…

…managing large-scale programs with multiple delivery partners, including governance of partner-delivered workstreams - Experience with AI/ML and data transformation programs, sufficient technical…

…building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage…

…Preferred Qualifications Experience with MLIR. Familiarity with machine learning models and frameworks. Familiarity with accelerated computing. Exposure to dataflow architectures. Base Salary Range: Base…

…collect requirements, describe software product features, technical designs, and product strategy - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to…

…Your work will directly accelerate the firm’s AI/ML capabilities—enabling faster experimentation and production-grade deployments that create measurable business impact. Job…

…ML accelerators or AI chips Experience with ML compiler stacks such as MLIR, XLA, TVM, Glow, or similar frameworks Track record of applying AI…

…Evaluate, integrate, and maintain AI/ML models in production: monitoring for quality regression, managing model versions, and balancing cost, latency, and accuracy tradeoffs across…

…developer productivity, secure software supply chains, and AI-driven development. - Partner with Sales leadership to accelerate large, complex opportunities by guiding technical alignment and…

…Solutions Architect, principal engineer, or similar deep technical practitioner, and managing teams of specialists. ● Professional experience architecting or operating AI/ML, data and analytics…

…for product risk, not process for its own sake. You will help a globally distributed organization turn quality, safety, cybersecurity, and AI/ML safety…

…Familiarity with distributed inference, checkpointing, and accelerator‑based compute environments. 2. AI Operations Experience supporting AI or ML applications in production environments. Familiarity with…

…Ensure that the organization’s technical roadmap is well understood and that programs and staffing are aligned with the roadmap. Manage, unblock, and accelerate…