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Design and optimize high-performance storage systems for AI workloads, integrating CSI drivers, GPUDirect Storage, and NVMe caching in Kubernetes environments.
Develops and trains multilingual, multicultural large language models (LLMs) and related AI products, focusing on underrepresented languages and real-world applications.
Build and scale the AI infrastructure that powers CrowdStrike’s LLM-driven security products, including GPU clusters, model-serving pipelines, and MLOps tooling.
Build and fine-tune large language models for healthcare using proprietary medical datasets, then deploy them into production workflows and agentic AI systems.
Lead R&D on large-scale generative AI and NLP models for Yahoo Mail, optimizing transformers, distillation, and evaluation frameworks to power personalized inbox experiences for hundreds of millions of users.
Builds and optimizes LinkedIn’s large-scale AI training, feature engineering, and serving infrastructure for recommendation, LLM, and computer vision models using distributed systems, GPU clusters, and open-source frameworks.
Design and train a biological reasoning foundation model from scratch, scaling pretraining across multi-GPU clusters to learn unified representations of molecular biology and predict biological function.
Design and build generative AI models for drug discovery, training architectures on distributed GPU clusters to produce novel, biologically valid molecules.
Build and maintain the ML infrastructure that powers nyra health’s research arm, enabling fast, reproducible, and secure experiments with clinical speech data using Python, PyTorch, and distributed systems.
About the Role We are seeking an experienced AI Engineer to manage the design, deployment, and optimization of production-grade language model systems. This role involves building applications using both commercial LLM…
About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native…
About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse,…
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life…
Senior AI/ML scientist at Adobe building multimodal models for image/video editing, from research to product integration, with hands-on training, evaluation, and optimization of transformer/diffusion architectures.
Build and optimize cloud-based data infrastructure for machine learning and analytics at a global financial data provider, using Python, ML frameworks, and AWS.
Senior MLOps engineer at Dyson to industrialize AI models, building automated pipelines from data curation to production deployment using cloud platforms and orchestration tools.
Designs and maintains automated machine learning pipelines, moving AI models from experimentation to production while ensuring scalability, observability, and security for Dyson's connected devices.
Artificial intelligence is rewriting every industry it touches — but construction, the second largest sector in the global economy, has barely felt it yet. That's not a problem. That's an opening. ZeroRFI is…
At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth,…
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the…
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