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Join a team where your work directly shapes how machine learning is applied at scale across the firm. You’ll partner with product, engineering, and data teams to take ideas from experimentation through production,…
Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to…
As a Lead AI Engineer here at Honeywell, you will provide technical guidance and support to a team of AI engineers to successfully execute projects. You will be actively involved in the design, development, and…
With the world's largest database of more than eleven million genotyped participants, the 23andMe Research Institute is at the forefront of using human genetics to advance biomedical research and transform…
Enterprise Cybersecurity AI Infrastructure Engineer The Opportunity: Are you technically inclined, intellectually curious, and adaptable, with a strong cyber-defense mindset? Do you thrive in a fast-paced, dynamic…
The opportunity Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming…
Owns the data and evaluation side of ML infrastructure for Arc's virtual cell models: the Model Performance Dashboard, single-cell data-to-training-set pipelines, train-and-eval CI, and GPU/distributed-training performance. Core stack is Python/PyTorch with heavy use of AI agents.
Overview The world’s most advanced Artificial Intelligence (AI) workloads depend on infrastructure that must operate reliably at unprecedented scale. Our team operates Microsoft’s largest AI supercomputers, partnering…
AuxoAI is hiring a Senior Applied AI Engineer to design, build, and deploy production-grade computer vision systems (detection, segmentation, tracking, video understanding) end-to-end, combining deep learning, classical/geometric CV, and multimodal vision-language models with PyTorch/TensorFlow. Hybrid role, 3 days/week in office in Mumbai/Bangalore/Hyderabad/Gurgaon.
Build and maintain the MLOps platform that deploys, monitors, and scales AI workloads on CoreWeave’s high-performance cloud infrastructure.
Leads cross-functional programs to improve AI workload scheduling and training workflows on CoreWeave's cloud infrastructure, using Kubernetes, Slurm, and AI/ML platforms.
Leads product strategy for CoreWeave’s AI training infrastructure, focusing on high-performance orchestration tools like Slurm on Kubernetes and reinforcement learning pipelines to support frontier AI research.
Research and build continuous learning systems for self-improving AI agents on the OpenPipe team. You'll investigate RLHF, reward modeling, and on-policy distillation to solve production bottlenecks in agent training. Core stack uses PyTorch/JAX for model training with Kubernetes and Megatron for distributed GPU infrastructure.
Build and optimize AI infrastructure performance monitoring tools, ensuring high availability and observability for CoreWeave’s cloud platform.
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…
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