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United States Full time R2026-555 We believe in the power and joy of learning At Cengage, our employees have a direct impact in helping students around the world discover the power and joy of learning. We are bonded by…
Build and deploy production ML models—reinforcement learning, contextual bandits, and deep learning—to optimize Creator tools and ad systems for YouTube Creators.
Lead the design, development, and deployment of recommender systems and personalization models for Penguin Random House’s digital platforms to improve book discovery and customer engagement.
AI/ML engineer modernizes legacy COBOL insurance systems by integrating LLMs, APIs, and AWS workflows to automate document summarization and underwriting processes.
Lead a team of ML engineers and applied scientists to build and deploy regulated health AI features for WHOOP’s wearable platform, ensuring clinical-grade rigor and FDA compliance.
Build and own back-end systems and ML pipelines for AI-powered cybersecurity threat detection, using Python/Go/Node.js on Kubernetes and deploying generative AI workflows.
Designs and optimizes custom AI-focused ASICs for Meta’s data centers, defining architecture, performance models, and silicon roadmaps to meet hyperscale demands.
Build back-end services and data pipelines in Python/Go/Node.js on Kubernetes, contributing to GenAI workflows and ML systems under senior mentorship.
Builds and optimizes 3D perception models that fuse camera, LiDAR, and radar inputs for autonomous trucks using PyTorch/TensorFlow.
Senior Python AI/ML Engineer building and optimizing GenAI models and pipelines for enterprise clients, working 3 days onsite in Jersey City.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Develops AI/ML and GenAI solutions for Google Search, designing large-scale systems and optimizing model deployment to improve global information retrieval and accessibility for billions of users.
Builds and maintains production ML forecasting systems for demand, inventory, and supply chain at Penguin Random House, specializing in time-series modeling, uncertainty quantification, and agentic workflows.
Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum…
Job Openings Lead Founding Backend Engineer (Node, Python, React, AI/ML) - Startup Experience About the job Lead Founding Backend Engineer (Node, Python, React, AI/ML) - Startup Experience About the Company One of our…
Design and implement AI/ML models for national security workflows, translating user needs into secure, decision-support systems.
Designs and implements AI/ML models for defense and national security applications, ensuring robust performance under strict security constraints.
Build and deploy ML models for search, pricing, routing, and generative-AI features that power Trainline’s travel platform, collaborating with data scientists and engineers.
ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
Senior AI/ML engineer building and deploying production-grade models (including LLMs) on AWS using PyTorch, Ray, Docker, Kubernetes, and FastAPI for national security missions.
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