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Lead the design and development of machine learning systems to evaluate and improve Waymo's autonomous driving technology, focusing on reinforcement learning, generative models, and large-scale simulation workflows.
Leads the design and scaling of AI/ML infrastructure for billion-parameter foundation models used in ultra-realistic autonomous-driving simulations, collaborating with research teams to improve simulation fidelity.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
Machine Learning Engineer at a defense-tech company who owns the training, data, and edge-inference backbone for vision and multi-sensor autonomy models — building data/training pipelines, generating synthetic data, and deploying PyTorch models in real time on Jetson-class embedded hardware.
The Senior Site Reliability Engineer will lead the design, architecture, and observability of Seekr's AI platform to ensure system reliability and performance. The role involves collaborating with engineering teams to manage hybrid cloud infrastructure, automate operational tasks, and handle incident response.
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
About the Role This is a founding-level ML Research Engineer opportunity at an early-stage AI/ML data and services company, working directly with the founding team to build and scale the AI research backbone from the…
Senior Software Engineer builds and scales a high-performance network observability platform for RDMA, RoCE, InfiniBand, and TCP/IP networks, using distributed systems and Linux networking tools.
Designs and operates scalable ML infrastructure (Kubernetes, GPU clusters) for distributed training, simulation, and deployment at Riot Games, ensuring reliability, cost efficiency, and developer tooling for AI-driven game systems.
Senior ML engineer builds and deploys scalable AI pipelines for materials, chemistry and physical sciences, using PyTorch, cloud infra and production-grade MLOps.
Senior/Staff Machine Learning Engineer owning production ML systems and MLOps platform infrastructure for Attain/Klover's B2C fintech products (EWA, fraud, churn, decisioning). Day to day: building feature pipelines, model serving, CI/CD, and observability on GCP + Kubernetes with Terraform, and directing AI coding agents to ship infrastructure code.
Research Engineer at Datadog’s AI lab in Paris builds and scales multimodal AI systems for cloud observability, training world models and autonomous agents using PyTorch, Ray, and GPU clusters.
The AI platform is responsible for all AI infrastructure across Datadog. Our mission is to provide tools and platforms that enable data scientists and engineers to conduct large-scale training and inference with ease.…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a MLOps Field Engineer based in India. Join a global Field Engineering team helping…
Business Alliance HR is hiring a mid-level AI/Machine Learning Engineer for a Jordan-based biotech/computational biology company. The engineer applies representation learning and predictive modeling to structured biological data, translating research papers into prototypes and shipping production ML systems in Python (PyTorch/TensorFlow/JAX).
Business Alliance HR is recruiting a Senior AI/Machine Learning Engineer for a Jordan-based high-tech company in biotechnology, computational biology, and applied AI. The engineer reads research, prototypes representation-learning and predictive models on structured biological data, and ships them to production using Python and frameworks like PyTorch, TensorFlow, or JAX.
Position Summary We are seeking an experienced AI Infrastructure and Platform Architect to design, optimize, and manage scalable AI infrastructure and platforms across on-premises, cloud, and hybrid environments. The…
Build and operate a distributed multi-node GPU platform for large-scale AI model training and inference, ensuring performance and reliability using Kubernetes, Slurm, and NVIDIA stack technologies.
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