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Designs and builds autonomous AI agents that plan, reason, and execute multi-step tasks using Python and modern AI frameworks.
You will lead original research and intellectual property development in advanced AI and machine learning. You will develop funded research proposals deliver complex R&D projects define a research area contribute…
This role involves building and optimizing OpenAI's inference stack for AWS Trainium hardware. The engineer will work across the stack, including developing high-performance kernels, improving compiler support, and optimizing model execution for frontier-scale AI systems.
AI Scientist leading the design and deployment of advanced optimization and machine learning systems for transportation and logistics networks, working on routing, scheduling, demand forecasting, and fleet optimization using Python, PyTorch/TensorFlow, and optimization tools like Gurobi/CPLEX, while collaborating with engineering teams to productionize AI solutions.
Part-time AI Research Assistant focused on applying ML, LLMs, and generative AI to education—reading papers, implementing experiments, fine-tuning models, and contributing to grant proposals using Python and PyTorch.
Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As an AI/ML Research Intern , you will be an integral member of a team of experienced technologists, quantitative…
This co-op researcher role at Huawei's Noah’s Ark lab involves conducting research on LLM post-training, agentic coding, and reinforcement learning. The researcher will design experiments, build scalable infrastructure, and develop intelligent agents using Python and PyTorch.
Develops on-device ML and control systems to manage energy flow and thermals in Apple devices. Work involves analyzing sensor data, prototyping algorithms in Python and C++, and shipping solutions for resource-constrained hardware.
Build and deploy generative AI features for a B2B customer operations platform using Node.js/TypeScript, focusing on agentic automation and LLM-driven workflows.
Design, build, and deploy production-ready AI agents and agentic workflows on AWS using LangGraph/CrewAI, RAG pipelines, and Model Context Protocol as part of nearshore software development PODs.
Oversee AI-powered industrial automation deployments for factories and facilities, coordinating cross-functional teams to configure and install Phaidra’s reinforcement-learning control systems and ensure customer success.
Senior engineer who designs and deploys AI-driven HVAC control systems for data centers, translating customer needs into scalable automation using reinforcement learning and industrial protocols like BACnet and Modbus.
Operationalize and scale Phaidra's AI-powered HVAC control systems for data center customers — modeling facilities, commissioning/tuning products, supporting deployments, and acting as a technical SME. Core tech includes HVAC/BACnet/Modbus/PLC, Python, and reinforcement-learning-based control platforms.
Member of Technical Staff – World Models About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
Наша цель — научить Alice AI LLM идеально ориентироваться в сценариях, где пользователь с помощью Алисы взаимодействует с экосистемой Яндекса, и превратить LLM в надёжного помощника-агента. Приходите к нам, если…
Senior Data Scientist builds and improves machine-learning models for real-time ad-tech systems, processing billions of requests using Python, Spark, and SQL.
Builds and improves machine-learning models for real-time ad-tech campaigns, processing billions of requests using Python, Spark, and SQL.
Develops and evaluates AI-powered visual editing tools (GemPix/Gemini) for Google Workspace, focusing on model quality, metrics, and automated evaluation systems for image generation/editing features.
Senior engineer designing and deploying production-ready AI agents and agentic workflows on AWS using LLM frameworks (LangGraph, CrewAI), RAG pipelines, and MCP, while mentoring nearshore development teams.
Develops sovereign AI models from scratch for national cyber-defense, focusing on computer vision, NLP, RL, graph learning, and neurosymbolic AI to secure critical government data and infrastructure. Daily tasks include training models, benchmarking, dataset curation, and cross-disciplinary collaboration with engineers.
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