851 matching jobs for “Machine Learning Engineer 4”
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… approval evidence, performance baselines, applicability limits, dependencies, and release history. 4. Build AI Observability, Reliability, and Drift-Management Practices Define observability standards for AI …
… debugging, and profiling. Remove technical roadblocks, clarify priorities, and work effectively. Foster a learning culture and encourage knowledge sharing. 2) Delivery & Process (SDF & Agile) Ensure strict adherence to the …
Pay posted by employer$117,620–$227,270 USD per year
… below. Life at Intel Intel's Foundry Automation (IFA) team is hiring a Software Application Development Engineer - Government Programs. IFA team partners with end users in Manufacturing and Engineering to deliver …
… and a Linux OS installation, OS/Data Backup, Recovery Minimum Qualifications Requires a minimum of 2 - 4 years of related experience About KLA We provide advanced inspection tools, metrology systems, process …
Santa Clara, California, United States +1 location
… or scaling AI-powered products, developer platforms, or large-scale cloud services. Strong expertise in machine learning infrastructure, model serving, distributed systems, and real-time AI applications. Deep …
… testing, integration, quality assurance, and post-release support. Experience (as a software engineer or technical product manager) in one or more of the following domains: real-time 3D visualization and …
… Windows and a Linux OS installation, OS/Data Backup, Recovery Minimum Qualifications Requires a minimum of 4 - 6 years of related experience About KLA We provide advanced inspection tools, metrology systems, process …
… driving successful outcomes. The Team Our Data Science & AI Engineering team is driving innovation through machine learning and AI-powered solutions – including generative AI and emerging agentic AI approaches – that …
… solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied …
… technical transfer. It guides imaging strategy, data acquisition and annotation, classical vision, deep learning, multimodal models, 2D/3D analysis, edge inference, and integration into engineering and field workflows. …
… insight and the data science toolkit to support critical finance data science initiatives using traditional machine learning, Bayesian statistics, simulation, and optimization. Integrate AI tools and Agents into data …
Santa Clara, California, United States +1 location
… optimized, internal EDA tools. Our team develops these tools by fusing advances in parallel computing, machine learning, and specialized algorithms for VLSI design. We are seeking a Senior P&R Methodology Architect to …
Spring House, Pennsylvania, United States of America +2 locations
Pay posted by employer$102,000–$175,950
… Innovative Medicine Research & Development, a Johnson & Johnson company, is recruiting for Principal Engineer, Platform & Cloud Engineering in our R&D Advanced Computing group focused on AI Native Drug Discovery. …
… Spark, and Azure data services. Design AI-ready data products and platform capabilities that support machine learning and generative AI use cases, including feature engineering, vector search, and retrieval-augmented …
… engineers and leaders. Current opportunities may include: Manufacturing Associates Production Operators Machine Operators Assembly Team Members Packaging Specialists Material Handlers Warehouse Associates Inventory and …
… and industry trends to recommend and implement innovative solutions. Qualifications and Requirements: 4+ years of experience in enterprise IT operations, systems engineering, or infrastructure architecture, …
… network. Proven track record leading large-scale automation modernization, digitization, Industry 4.0, or manufacturing transformation initiatives with measurable operational and financial outcomes. · …
… workflows — least-privilege identities for agents, bounded model and data access, provenance for machine-generated code, and guardrails that hold as autonomy increases Embed automated controls across the delivery …