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NVIDIA is seeking interns for 12-week roles focused on deep learning applications, algorithms, and framework development. Interns will work on GPU-accelerated computing projects using technologies like CUDA, PyTorch, and TensorFlow.
The Principal AI Data Scientist will develop and deploy physics-informed AI/ML models to advance semiconductor manufacturing, simulation, and EDA workflows. The role involves collaborating with cross-functional teams to integrate domain knowledge with state-of-the-art AI techniques like deep learning and neural operators.
Lead the development of advanced AI/ML systems powering next-generation journalism at The Washington Post, focusing on AI-powered search, retrieval, ranking, content understanding, and generative AI reader experiences using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
Build and deploy ML models for personalization, recommendations, and ranking at The Washington Post, using Python, PyTorch/TensorFlow/JAX, and large-scale behavioral data to power intelligent reader discovery experiences.
Research engineer builds and deploys deep-learning models for financial markets, using Python/C++/CUDA and PyTorch/JAX to optimize HPC pipelines and integrate low-latency systems.
Research engineer builds and optimizes AI/ML systems for quantitative finance, integrating models into low-latency trading pipelines using Python, C++, and GPU frameworks.
Senior Staff Software Engineer on LinkedIn's AI Infrastructure team, responsible for designing and optimizing large-scale distributed training and serving systems for AI models (e.g., LLMs, recommendation engines), using frameworks like PyTorch, TensorFlow, Horovod, and DeepSpeed to scale up to hundreds of billions of parameters and high-throughput GPU inference.
Project Goal: This is the flagship moonshot for 'The Future of Compute' at X (the Moonshot Factory). This project is aimed at moving away from simulating physics on digital chips and instead building physical…
Research intern applies deep learning to financial markets, building and optimizing ML models in Python/C++/CUDA and deploying them into low-latency trading systems.
Research intern builds and optimizes AI/ML systems for quantitative finance, working with PyTorch/JAX and CUDA on HPC clusters to push low-latency trading models from concept to production.
Builds software platforms for robotic motion AI simulation and ML, translating research requirements into scalable systems for synthetic data generation, experiment pipelines, and GPU-enabled environments.
Build and optimize cutting-edge generative AI models for image generation and multimodal applications using AMD’s GPUs, collaborating with researchers and engineers to push visual computing boundaries.
Builds real-time search and RAG (Retrieval-Augmented Generation) systems for Siri and Apple’s search products, focusing on query understanding, document retrieval, ranking, and ML model integration to deliver instant user experiences like weather, flights, sports, and stock data.
Leads ROCm software validation for AMD’s AI/ML GPU platforms, defining test strategies, infrastructure, and release gates for multi-GPU/server workloads (e.g., LLMs, HPC). Owns end-to-end validation, debugs complex failures, and mentors engineers.
Designs and deploys AI infrastructure for training biological foundation models, managing GPU clusters, storage, and MLOps tooling to support drug discovery research.
At d-Matrix , we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is…
About Majestic Labs We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it…
QA Tester responsible for quality strategy, automation, test data management, and process maintenance, working with Java/TestNG/Python/pytest, MySQL, REST API, and CI tools like Jenkins.
Senior Backend Developer working on microservices architecture using Java, Spring Boot, Kafka, and MongoDB in the insurance sector. The role involves developing technical solutions, participating in architecture decisions, and working in an Agile/Scrum environment with a hybrid model in Barcelona.
Build and deploy AI policies for a humanoid robot platform, training locomotion and manipulation models that run on real hardware and iterating quickly from sim to real.
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