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About Neurophos The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional…
Develop and maintain production ML/computer vision systems that sort thousands of batteries per hour using PyTorch and OpenCV, integrating with factory hardware while monitoring model performance and collaborating across engineering and manufacturing teams.
Geometry with consequences. Deep learning on 3D CAD data where correctness translates into steel and aluminum, not pixels. The ultimate tinkerer's playground. Physical machines, shop floors, and modern cloud…
Principal AI Engineer designs and builds enterprise-grade AI systems on AWS, leading architecture, LLM integrations, and production deployment for clients across multiple industries.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale using Python, AWS, and generative AI tools.
Leads the design, delivery, and adoption of AI/ML systems directly within client environments, owning architecture decisions and driving solutions from research through production at scale.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale.
Lead the AI inference and optimization layer for agentic workflows, tuning models and runtimes for latency, throughput, and memory efficiency on real hardware within a cloud security company.
About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping…
Build and scale the shared infrastructure that powers DoorDash’s generative AI products, including real-time and batch LLM inference, fine-tuning, and agent platforms across San Francisco, Sunnyvale, and Seattle.
Builds and optimizes high-performance AI inference systems in C++ to serve millions of users with low latency and high reliability, using GPU engines like vLLM and Triton.
Designs and optimizes low-precision reinforcement learning inference systems for large-scale workloads, working with Python, C++, Rust, PyTorch, JAX, and CUDA.
Principal ML Infrastructure Engineer at Roblox builds and scales the machine learning systems that power ads and discovery for hundreds of millions of users, using large-scale training, inference, and feature pipelines.
Principal Machine Learning Engineer at Roblox defining the 3-5 year technical strategy for machine learning-based content moderation systems to proactively detect and mitigate harmful user-generated content at massive scale using computer vision and vision-language models.
Builds and deploys small language models that enforce real-time AI governance policies, undoing harmful agent actions while optimizing for latency and cost in enterprise environments.
Owns radar/ML stack: simulates radar/SAR data, builds ML pipelines (PyTorch/NumPy), and deploys models on GPU infrastructure for defense applications.
Engineer at VinFast's Speech & Language Processing Center building and fine-tuning ASR models (Vietnamese, English, Bahasa) for cloud and on-device (Android/embedded) use in vehicles. Day-to-day: train/optimize speech models, build ML pipelines and serving infra, and optimize inference with tools like ONNX Runtime, TensorRT, and CUDA.
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