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Designs and implements large-scale open-source AI solutions for clients, advising on frameworks like PyTorch and LLMs while bridging technical and business needs.
Designs and deploys production-grade AI systems for enterprise customers, combining software engineering, applied AI research, and customer engagement using LLMs, reinforcement learning, and agentic workflows.
Designs and builds scalable infrastructure for reinforcement learning (RL) training pipelines, including actor-learner architectures, reward systems, and distributed GPU orchestration, using Python, PyTorch/JAX, and tools like Ray or Kubernetes.
Builds and maintains the AI/ML platform infrastructure for scalable, reproducible agentic workflows, distributed training, and GPU cluster operations at a semiconductor company.
Build production AI systems that interpret global markets Permutable is building the intelligence infrastructure institutions use to understand what is moving global markets - and why. Our technology transforms large…
Designs the software stack for a hybrid electronic-photonic compute engine, defining programming models, compilers, and runtime systems to dynamically route AI workloads across compute paths.
Build and improve core machine learning components for a proactive AI assistant, working on real production systems with Python, PyTorch/JAX, and GPU-based ML pipelines.
Join Us! Amity, through its AI Research and Application Center, is advancing the frontier of applied AI research across natural language processing, large language models, agentic systems and generative AI. We build…
Leads the AI research strategy for a proactive assistant that automates routine tasks like email and notes, focusing on reliability, reasoning, and safety in a production environment.
Senior ML Engineer builds and owns production-grade AI systems for a proactive assistant, working end-to-end from data to deployment with PyTorch/JAX and GPU infrastructure.
Develop and train machine-learning models to predict protein structures using geometric deep learning and generative architectures in a research-focused AI lab.
Build and deploy AI models for defense and security customers, integrating them into cloud and edge systems while solving real-world challenges in austere environments.
Reinforcement Learning AI Engineer The Opportunity: Are you an innovative and experience d artifi cia l intelligence ( AI ) developer spe cia lizing in reinforcement learning? Utilize your expertise in AI, data…
NVIDIA's Deep Learning Frameworks (DLFW) Infrastructure team is looking for a deeply technical Senior HPC Cluster Administrator to lead the design, deployment, and reliability of our large-scale GPU compute…
Help build an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will be hands-on delivering our profiling…
A PhD student will develop machine learning models trained on biological simulations to advance research in computational biology using Python and relevant ML frameworks.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
Job Description What's the opportunity? At RBC Borealis, you’ll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets,…
Designs and implements low-level system software to optimize AI workloads across thousands of GPUs, bridging AI frameworks and hardware in a hybrid Palo Alto or Charlottesville role.
Research scientist designs and runs experiments to improve large language models by refining evaluation methods and post-training workflows, using Python and modern ML frameworks.
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