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Build AI-driven tools to automate gameplay testing and validate NVIDIA GPUs using deep learning, reinforcement learning, and generative models.
Build and optimize NVIDIA’s deep-learning inference stack (TensorRT, TensorRT-LLM) by profiling models, writing GPU kernels, and integrating OSS frameworks to maximize GenAI performance across datacenter and edge GPUs.
Data Scientist - Computer Vision Location: Bangalore Area Time Type: Full time Job Description Job Description: Description : At Airbus, we are harnessing the power of artificial intelligence to enhance efficiency and…
Senior Software Engineer builds and maintains PayPal’s ML infrastructure and model lifecycle systems to power risk-management features at scale.
Own the end-to-end integration of AI/ML models into Adobe’s imaging products, optimizing and shipping models for Photoshop, Lightroom, and Camera Raw.
Design and deploy enterprise-grade AI systems—from LLMs to robotics—using Python, PyTorch, and MLOps, ensuring scalable, secure, and commercially viable solutions.
Introduction EdgeCortix is hiring for a field application engineer position to join our Tokyo/Kanagawa based team and drive support of pre-sales and post-sales activities related to our artificial intelligence (AI)…
Lead a team of engineers to build and scale the data and ML infrastructure that powers Viam’s robotics platform, using Go, Python, TensorFlow, and cloud services.
Designs high-performance network traffic analysis and DDoS protection systems, focusing on inline/out-of-path architectures, BGP FlowSpec, MPLS, and distributed clustering with low-latency state sync. Core tech: C/Rust/Go, DPDK, eBPF/XDP, Kubernetes, ML integration, and network protocols (gRPC, Protobuf).
Builds and maintains robust LLM-based AI agents and RAG pipelines, designs multi-step reasoning workflows, and implements quality evaluation frameworks to ensure reliable, production-grade AI systems.
Leads ML/CV development for autonomous navigation and computer-vision systems in unmanned aerial vehicles, optimizing algorithms for embedded Linux and sensor fusion.
Build and deploy ML models for media, ad-tech and e-commerce: recommendations, real-time personalization, pricing and bidding engines that directly lift CTR, eCPM and revenue.
Machine Learning Engineer at Augur developing advanced computer vision capabilities including scene understanding, object detection, tracking, and 3D reconstruction from edge-deployed sensors. Will evaluate and integrate state-of-the-art research, build efficient inference pipelines, and deploy production-grade CV models using Python, PyTorch, and related technologies.
Build and optimize real-time graphics and ML inference pipelines for interactive visual apps, integrating super-resolution and denoising models into DX12/Vulkan renderers.
Build and own AI/ML detection systems for cybersecurity, from data pipelines to production models, focusing on threat classification and adversarial robustness.
Develops AI-driven backend services and agent orchestration systems for edge-cloud integration, focusing on LLMs, tool use, and real-time inference while collaborating with researchers and engineers.
Build autonomous AI agents using LangChain, LangGraph, and AutoGen, integrating RAG, knowledge graphs, and fine-tuned SLMs for edge deployment.
Research engineer translating biometrics and AI research into scalable production software using ML/DL, computer vision, C++, and Python to build biometric recognition systems at Thales.
Develops AI-driven backend services and agent orchestration systems for edge-cloud integration, optimizing LLMs, APIs, and real-time inference pipelines to enhance HP’s intelligent devices and workflows.
Develop and optimize deep learning models for autonomous truck perception, mapping, and planning using PyTorch, collaborating with cross-functional teams to integrate solutions into production pipelines.
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