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The Staff AI Research Engineer will design, implement, and optimize large-scale AI models for robotic systems. The role involves working across the stack to develop training pipelines and evaluation frameworks using PyTorch, Python, and modern ML architectures.
MaintainX is seeking a Senior Applied Machine Learning Engineer to lead the architecture and development of predictive maintenance and asset intelligence systems. The role involves building end-to-end ML pipelines, leveraging LLMs and IoT data to optimize industrial operations, and mentoring a team of developers.
Design and build the autonomy stack for industrial humanoid robots, combining world models, behavior trees, and classical control to enable autonomous task execution in heavy-industry environments using NVIDIA IsaacSim/Cosmos, Python, and C++.
This role involves designing next-generation search and conversational AI experiences for LinkedIn's global platform. The designer will collaborate with engineering and AI research teams to create intuitive, scalable interfaces while applying systems thinking to complex technical architectures.
Build and deploy AI models (LLMs, speech, personalization) to enhance Duolingo’s learning experience, including training, fine-tuning, and monitoring systems.
Grow with us About this opportunity: Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1’s working on EAD for this position.…
En nous rejoignant à titre de Chef·fe d’équipe – Systèmes de comportements IA, vous intégrerez une équipe multidisciplinaire (données, programmation, conception de jeu et narration, animation, etc.) guidée par une…
About Nimble Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce. We’re training robot AGI to power a proprietary generalist supply chain…
Develops and trains AI models for robotics, including vision-language-action models and reinforcement learning algorithms, to automate supply chain tasks using real-world robot hardware.
Build low-level reinforcement learning environments targeting hardware features like GPUs, FPGAs, and vector ISAs to stress-test AI models, using C/C++/CUDA and Python.
Build reinforcement learning environments and reward functions to train frontier AI models on real-world ML tasks, blending research and engineering with Python, PyTorch/JAX, and LLM infrastructure.
The Account Structure Intelligence team at Google builds LLM-powered extraction engines to transform unstructured web content into structured data for advertising. Engineers in this role manage end-to-end ML workflows, including model training, fine-tuning, and production pipeline development.
Design and productionize scalable data science algorithms (optimization, simulation, ML, GenAI) on large cloud-based datasets to enhance business processes, while mentoring other data scientists. Uses Python, PyTorch, TensorFlow, and cloud platforms (GCP/Azure).
Senior engineer designing real-time control algorithms for smart home appliances, integrating embedded systems, mechatronics, and machine learning to optimize product performance from prototype to mass production.
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating…
Leads the AI vision and roadmap for a manufacturing quoting and fulfillment platform, integrating machine learning and automation to improve operational efficiency and decision-making.
Build and deploy enterprise-grade Agentic AI systems, LLMs, and Generative AI solutions for autonomous workflows in investment banking and global markets.
The software developer will design reinforcement learning environments, test AI models, and optimize high-performance codebases using languages such as Python, Java, Rust, or TypeScript.
Lead the architecture and development of RAG systems combining LLMs with industrial knowledge sources to build troubleshooting assistants, using Python, PyTorch, Hugging Face, LangChain, and vector databases.
About the Role We are buildingin-house humanoid robotics capabilities (perceive, reason, and act autonomously)for real-world service and operational applications. Weare looking for a hands-on Embodied AI Engineer with…
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