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Leads AI/ML engineering at BlackRock, designing and deploying generative AI, intelligent agents, and predictive systems to transform asset management and financial services. Sets technical direction, builds scalable AI platforms, and partners across business teams to deliver production-grade solutions.
The Opportunity Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization.…
ML Engineer on ByteDance's e-commerce recommendation and marketing algorithm team, building user growth engines, personalized push/email recommendations, and uplift models using C++, Python, big data tools, and deep learning frameworks.
Develop and deploy machine learning models for fraud detection and risk prevention in ByteDance's e-commerce ecosystem, building data pipelines and analyzing security data to identify abnormal behavior patterns.
Machine Learning Engineer building risk control models and algorithms for ByteDance's e-commerce platforms to detect fraud, abuse, and inauthentic behaviors using Python, SQL, and ML.
Tech Lead for ML Engineer on ByteDance's Search E-Commerce team, leading search algorithm development using large-scale ML, NLP, CV, and multi-modal technology to power e-commerce search for over 1 billion users.
Build and deploy NLP and multimodal AI systems for real-time analysis of communication data, from ingestion to production-scale modeling.
Staff ML Engineer designing and owning shared AI/ML capabilities—model training pipelines, evaluation frameworks, agent builder frameworks, and ML tooling—for Intuit's finance, accounting, and tax products using Python, LLMs, and cloud platforms.
Sell AWS’s Generative AI and ML services to Automotive & Manufacturing customers, advising on adoption and deployment to drive revenue and solve business problems.
Machine Learning Scientist focused on LLMs and generative models, building evaluators and improving summarization quality for Netflix's promotional content and discovery experience.
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Build and deploy AI/ML models for patient monitoring, transforming physiological signals into clinical insights using Python and deep-learning frameworks.
Designs and evaluates scalable machine learning architectures for a large U.S. bank, guiding adoption of cloud-based ML platforms and MLOps practices to enable predictive modeling and AI-driven financial solutions.
Senior Deep Learning Software Engineer developing simulation infrastructure for deep learning applications across GPUs. Core technologies include MLIR, C/C++, Python, and compiler optimization.
Senior MLOps Engineer at HP building and operating scalable ML/LLM deployment infrastructure on AWS and Databricks, including CI/CD pipelines, model-serving endpoints, observability, security, and governance for production AI services.
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and…
Sr. Director, Product Management - Enterprise AI/ML Sr Director, Product Management (PXDP65) Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value…
The Senior Machine Learning Engineer III will design, build, and optimize Retrieval-Augmented Generation (RAG) systems to deliver accurate, source-grounded AI solutions for legal and professional information products. The role focuses on vector search, document ingestion workflows, and evaluating AI performance to minimize hallucinations.
Build and operate MLOps platforms on AWS for autonomous driving ML workloads, implementing ML pipelines with Airflow and MLflow, managing multi-GPU training, and maintaining infrastructure using Kubernetes/EKS, Terraform, and Python.
Develops AI/ML systems and predictive models for clients, focusing on LLMOps, deep learning, and software automation to transform unstructured data into actionable insights.
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