…engineering teams to define and govern Moveworks’ critical product metrics, ensuring consistency, accuracy, and alignment across the company. Apply rigorous statistical and machine learning…

…and machine learning to improve fraud detection and customer outcomes. You will investigate fraud patterns, evaluate model behavior, prototype ideas, and work with engineering…

…Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod…

…tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design…

…tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design…

…tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design…

…You'll shape its operating rhythm, incident handling model, and quality bar while using telemetry, artificial intelligence, and machine learning to proactively detect and…

…telemetry and engineering data sources Partner with machine learning teams to productionize models for computer vision, anomaly detection, forecasting, optimization, process intelligence and manufacturing…

…frameworks Strong prompt engineering skills and intuition for how LLM behavior changes with context, instructions, and tool definitions Proven track record of technical leadership…

…engine experience: Familiarity with machine learning-based fraud detection or risk scoring systems. - Event-driven systems: Demonstrated experience with event-based processing and messaging…

…deploying AI and machine learning at scale. As a Staff Security Engineer, you’ll operate at the intersection of security engineering and AI innovation…

…data pipelines, and technical architecture. Intelligent Automation: Hands-on experience building products that seamlessly blend automation, human review, feedback loops, machine learning, or AI…

…Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning…

…Familiarity with managing data processing and machine learning code via GitHub. Excellent problem-solving skills and the ability to work alone and collaboratively. An…

…QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) or equivalent depth, with extensive experience in large-scale machine learning and AI research. - A track…

…and help elevate the overall technical bar of the AI Platform team. QUALIFICATIONS: - - 3+ years of experience in applied machine learning, AI engineering, or…

…Design and integrate AI-driven machine learning pipelines into factory applications to optimise test sequences, automate fault detection, and drive operational efficiencies. Drive technical…

…and scale machine learning pipelines and wireless applications directly to the factory floor, leveraging GenAI tools to continuously optimise test sequences, automate fault detection…

…Key job responsibilities As a Power Validation Engineer on our Machine Learning Acceleration team, you'll own power-domain validation across the entire product…

…Leverage generative AI and machine learning to build intelligent security automations that streamline review workflows, enhance vulnerability detection, and reduce manual toil. Ability to…

…Consultant Machine Learning & Knowledge Graph Engineer , you will play a pivotal role in advancing our AI and ML capabilities and creating Enterprise wide KG…

…8+ years of experience designing, developing, and operating large-scale, high-impact machine learning systems in a production environment. A proven track record of…

…As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won’t just…

…deploying, and monitoring AI/machine learning models, assessing reliability, stability, and fitness for purpose. - Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines…

…the-art machine learning - multi-modal 3D detection, BEV representations, learned tracking - with rigorous classical perception: state estimation, multi-object tracking, and sensor fusion…