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Data Scientist III Location: Hyderabad, Telangana Remote Type: Hybrid Time Type: Full time Job Description About the Role: Grade Level (for internal use): 10 About the Role : S&P Global is seeking a Data Scientist…
Designs and scales ultra-high-bandwidth, low-latency data center networks for AI workloads, focusing on RDMA, Clos fabrics, and automation.
Senior Machine Learning Engineer at Graphcore optimizes AI models for specialized hardware, scales them across thousands of accelerators, and collaborates with research and software teams to advance AI compute technology.
Senior Machine Learning Engineer at Graphcore in Bristol, UK, optimizing AI models for specialized hardware and large-scale systems, collaborating with cross-functional teams to advance AI technology.
Research engineer at Graphcore designs and implements AI/ML experiments, optimizes models for hardware efficiency, and publishes findings to advance AI compute technology.
AI/ML Research Engineer, LLM Post-Training & Evaluation Location: Remote - Canada Department: INN - (Engineering) and Solutioning - 384 Innodata (Nasdaq: INOD) is a global data engineering company. We believe that…
Develop underwater computer-vision algorithms for fish-farm monitoring using deep learning, 3D vision, and edge deployment on Jetson/GPU hardware.
Design and evaluate MLOps systems and GPU kernel optimizations for next-gen AI models using JAX, PyTorch, and Triton, collaborating with research teams on large-scale training infrastructure.
Develops topology-aware collective algorithms and transport layers for AI hardware, optimizing multi-node performance and co-designing with hardware teams.
Amazon AI Studios is building Nara, the AI-native production platform. Nara gives creative teams a single environment for ideation, asset generation, pipeline orchestration, and project management, with deep…
Build and maintain a production-grade MLOps platform for financial risk models using Python, PySpark, and AWS, automating training, testing, and deployment workflows.
Builds and maintains GPU clusters for AI training, improving reliability and efficiency while automating infrastructure for researchers at a general-purpose AI systems company.
Senior Hardware Systems Engineer, Performance Department: Cloud Engineering Location: Sunnyvale, CA - US Employment Type: FullTime Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the…
Senior Solutions Engineer at Crusoe helps enterprise customers deploy AI/ML workloads on high-performance GPU infrastructure, running demos, PoCs, and troubleshooting Kubernetes-based stacks in the NYC office.
This role involves leading reinforcement learning infrastructure and model post-training for multimodal, vision-language, and code-generating agents at Moonlake, focusing on building pipelines, distributed training systems, and improving agent performance in 3D environments.
Research engineer optimizing large-scale generative AI training systems, focusing on performance, stability, and low-precision techniques for diffusion and multimodal models.
Designs AI-driven systems that recursively optimize compute workloads and hardware, using agentic loops, performance profiling, and reinforcement learning to improve correctness, speed, and efficiency.
Build and optimize cutting-edge large language models and foundation models using decentralized learning methods, focusing on post-training, distributed GPU training, and open-source deployment.
Build and scale the AI/ML backbone for autonomous defense systems, including training pipelines, synthetic data generation, and real-time edge inference on embedded hardware.
Design and optimize high-performance storage systems for AI workloads, integrating CSI drivers, GPUDirect Storage, and NVMe caching in Kubernetes environments.
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