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Position Overview We are seeking a highly skilled Senior AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a…
Position Overview We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), Vision-Language Models (VLMs), and agentic model architectures. The ideal candidate will have a strong…
ABOUT CFM Founded in 1991, we are a global quantitative and systematic asset management firm applying a scientific approach to finance to develop alternative investment strategies that create value for our clients. We…
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
Senior ML Engineer building novel geospatial analytics, change detection, and computer vision models for Defense and Intelligence applications using Python, PyTorch/TF, and cloud infrastructure (AWS/GCP) at a satellite imagery company.
Overview Microsoft Research is working to transform the future of artificial intelligence by bridging the gap between cutting-edge general AI and the specialized, real-world applications that drive meaningful impact.…
Intern developing deep learning models with PyTorch on GPUs for computational protein and antibody therapeutic design at a biotech startup.
Build and optimize deep learning computer vision models for autonomous agricultural and construction vehicles, working with multi-sensor data and deploying to edge platforms using PyTorch and TensorFlow.
Build and optimize the reinforcement-learning training infrastructure that lets researchers iterate quickly on model training runs, using distributed systems and ML frameworks like JAX or PyTorch.
Leads AI-driven recommendation systems for an e-commerce platform, designing multimodal search and personalization models using Google's Vertex AI and TensorFlow.
Staff AI Infrastructure Engineer responsible for the reliability, scaling, and incident response of large-scale multi-GPU clusters running Slurm on Kubernetes, debugging deep failures across storage, networking, and GPU compute layers at a non-profit biology research lab.
Build and own the ML infrastructure that powers Merge Labs’ brain-computer interface research, including distributed training, experiment tracking, and deployment frameworks for molecular design and neuroscience models.
Location & work modality: EMEA (remote) Start: ASAP Type of Contract: Permanent, full-time About Radian Arc Radian Arc, now part of InferX, Submer's AI cloud and GPU infrastructure platform, provides an…
Design and operate high-performance AI and datacenter networks for a cloud gaming and AI infrastructure platform, focusing on low-latency GPU fabrics, routing, and security across distributed edge and core locations.
About Radian Arc. Radian Arc provides an infrastructure-as-a-service (IaaS) platform for running cloud gaming, artificial intelligence and machine learning applications inside telecommunication carrier networks. Our…
Staff Storage Platform Engineer designing and operating high-performance storage systems for large-scale GPU and AI infrastructure, working with Kubernetes, NVMe, distributed storage (Weka, VAST Data, StorPool), and GPU Direct Storage across edge and core environments.
About us We are building AI systems that can reason, use tools, and complete meaningful work in the real world. Our team works across model post-training, reinforcement-learning infrastructure, large-scale training,…
Staff Network Engineer responsible for architecting, deploying, and operating high-performance GPU networking fabrics (RoCE/RDMA) for distributed AI workloads across datacenter and edge environments, using BGP, EVPN/VXLAN, NVIDIA/Mellanox platforms, Python, and Linux networking.
Staff Network Engineer designing and operating high-performance AI/GPU networking fabrics, datacenter and edge networks using RoCE, RDMA, BGP, EVPN/VXLAN, and Python/Bash automation in a UK-based scale-up.
Designs and optimizes high-performance AI agent systems for NVIDIA’s CUDA ecosystem, collaborating with hardware/software teams to accelerate agentic workloads like planning, tool-use, and code generation.
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