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The Deep Learning Performance Architect will analyze and optimize performance for LLM workloads on NVIDIA's hardware architectures. This role involves developing analytical models and collaborating with software and hardware teams to influence the design of next-generation inference products.
NVIDIA is seeking a Ph.D. research intern in Taipei to develop and implement novel deep learning methods in areas like VLA, 3D vision, and speech LLMs. The role involves conducting original research, publishing findings, and collaborating with internal and external teams.
Ph.D. intern designing and implementing novel computer vision and deep learning methods, collaborating with researchers, and transferring results to product groups using Python, C++, CUDA, and frameworks like PyTorch or TensorFlow.
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.
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
The Machine Learning Engineer will develop and deploy automated ML pipelines for insurance risk modeling and pricing. The role involves using Python, MLOps tools, and TDD practices to optimize model performance and mentor junior team members.
Design, develop, and optimize AI/ML embedded software for HP's commercial PCs and connected devices, deploying machine learning models at the edge using C/C++, Python, and frameworks like PyTorch, TensorFlow, ONNX, and TFLite.
The Embedded AI/ML Developer will design and optimize AI-enabled software for HP's commercial PCs and connected devices, focusing on deploying efficient machine learning models at the edge. The role involves integrating AI inference engines with firmware and system software while collaborating across hardware and data science teams.
ASIC Physical Design Methodology Engineer defining and optimizing RTL2GDS flows and CAD methodologies for custom ML accelerator chips (Inferentia, Trainium) at Amazon's Annapurna Labs, using TCL and Python to build scalable design flows.
Design, build, and deploy AI/ML solutions on AWS for energy-sector clients, turning data into business impact while leading teams and advising customers.
The Machine Learning Engineer will design, build, and deploy production-grade machine learning and GenAI systems, including LLM integration and RAG pipelines. The role involves working across the full ML lifecycle, from data exploration and model training to MLOps and cloud-based deployment on AWS.
Develop, integrate, deploy, and maintain machine learning software solutions for US government missions using Python, Bash, and Linux within a Federal Solutions team.
The Lead Research Engineer will develop and implement AI, machine learning, and computer vision algorithms to support visual inspection and diagnostics for energy equipment. The role involves collaborating with cross-functional teams to build scalable solutions using Python, PyTorch, and TensorFlow.
The Research Scientist will develop advanced AI and computer vision algorithms to support visual inspection, diagnostics, and prognostics for GE Vernova's energy equipment. The role involves building prototypes, analyzing large datasets, and collaborating with cross-functional teams to drive industrial innovation.
Design and implement compiler transformations for CUDA Tile, an MLIR-based tile programming model, optimizing GPU kernel performance across NVIDIA architectures using C/C++.
Lead AI/ML technical architect responsible for designing, developing, and deploying AI/ML models and systems for CMS, with hands-on development using Python, TensorFlow/PyTorch, and AWS, while ensuring cybersecurity and data governance compliance.
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves,…
Build self-service ML platform tooling and golden paths from the ground up, enabling Data Scientists to independently deploy models to production across batch and real-time use cases using Python, PyTorch, TensorFlow, Kubernetes, and MLflow.
The Senior Staff AI/ML Engineer will lead the architecture and operational strategy for Abbott's medical device AI platforms, bridging data science and production engineering. The role focuses on building scalable MLOps infrastructure, ensuring regulatory compliance, and mentoring teams to deploy clinical-grade AI solutions.
Leads a team of AI/ML specialists to coach customers on Snowflake’s AI/ML capabilities, drive technical sales execution, and ensure workload activation. Focuses on hands-on technical leadership, product feedback, and team development in a fast-moving enterprise environment.
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