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Builds and maintains scalable data pipelines for audio datasets to support AI/ML research in immersive sound processing, including speech, style transfer, and source separation for global media production.
AI Infrastructure Engineer 5 days, Mon - Fri 8.30am to 5.30pm Salary: $5,000 to $7,000 Location: Kaki Bukit Operating Systems: Deep expertise in Linux systems administration, kernel tuning, and shell scripting…
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today,…
The ML Infra team is focusing on ML Infra performance and efficiency for both large-scale AI training and inference workflows in the recommendation domain. In this role, you will work on optimizing the end-to-end stack…
Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and…
Accenture is hiring an AI Full Stack Engineer in Singapore to design, build, and deploy LLM-powered applications end-to-end — from prompt engineering and fine-tuning foundation models to full-stack integration and production deployment — using Python, cloud AI services, and frameworks like LangChain and LangGraph.
Principal engineer building and operating Microsoft AI's large-scale evaluation platform for model training — developing benchmarks, graders, and evaluation runners, plus monitoring and on-call coverage during European hours. Core stack: Python (plus C++/Go/Rust), distributed systems, and schedulers like Ray/Kubernetes/Slurm with Datadog/Prometheus/Grafana observability.
AI ACCELERATOR Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right…
Senior MLOps Engineer – Energy Sector Austin, TX – Hybrid $160–180k + Excellent Benefits Our client, a leader in energy innovation, is seeking a Senior MLOps Engineer to design, deploy, and scale machine learning…
Senior machine learning engineer at Wayve (Sunnyvale, hybrid) who builds, trains, and fine-tunes offline scene-understanding vision models — transformer, multimodal, and vision-language architectures — used to measure driving performance at fleet scale across camera, lidar, and simulation data for validation and safety cases.
Senior software engineer on Cisco IT's internal Foundational Model Service: serving small, large, and embedding models on Kubernetes with vLLM, NVIDIA NIM, and similar runtimes. Day to day involves runtime tuning, GPU/accelerator optimization, model evaluation and release gating, platform APIs and tooling, and on-call reliability. Core stack: Python/Go, Kubernetes, IaC, Prometheus/Grafana.
Build and maintain large-scale compute infrastructure and ML libraries for Optiver's new AI Lab, supporting PB-scale data model training and simulations using CPU/GPU clusters, containerization, and distributed training algorithms in a fintech trading environment.
Machine Learning Software Engineer on Wayve's MEGA team, building foundation models for general-purpose robots (mobile manipulators, humanoids) at an autonomous-driving AI company. Day to day: design scalable data-ingestion, training, and evaluation pipelines plus shared tooling so researchers can run large-scale experiments on video, language, and robotics datasets.
Founding research scientist on Wayve's MEGA team building foundation models for general-purpose robots and autonomous driving. Day to day: designing model architectures, pre-/post-training (imitation/RL/self-supervised) methods, curating large multimodal robotics datasets, and running distributed PyTorch training, with real-world validation on a robot fleet.
Senior ML engineer joining Wayve's AV Core / Core Model Safety team in London to lead large-scale data enrichment and curation, mine hard and rare events, build out-of-distribution detection for driverless operation, and improve the ML ops stack. Core stack is Python and PyTorch with distributed, large-scale training and inference infrastructure.
We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice - a vision that has propelled us…
Senior ML Engineer at a VC-backed AI/ML startup building a foundation model for automated software delivery in embedded control systems. Day to day: research, develop, and production-deploy the model with focus on performance, optimization, and ML infrastructure (large-scale training, CUDA, cloud). Remote within Brazil; optional London relocation with visa sponsorship.
We are hiring a Machine Learning Team Lead to lead a team of driven ML engineers working on translating cutting-edge research into ambitious, customer-centric speech solutions. As innovators in speech technology, our…
Principal Network Engineer designs and maintains high-speed Infiniband/RDMA fabrics for an AI-focused GPU cloud, ensuring reliability and performance for AI workloads.
About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve…
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