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Builds and optimizes AI/ML-powered mobile/web apps for Warner Bros. Discovery, focusing on personalized content, search, and dynamic recommendations using frameworks like TensorFlow/PyTorch, cloud platforms (AWS/GCP), and generative models (LLMs, transformers).
Lead the productionalization of AI/ML models and LLMOps pipelines, architecting scalable AI infrastructure and MLOps workflows to deploy enterprise-grade solutions in Python and cloud environments.
Designs and implements Snowflake-based data platforms and AI infrastructure, including warehouses, pipelines, and model-enablement patterns for production ML systems.
Senior ML Ops Engineer (Machine Learning Infrastructure) Location: Los Angeles, CA Department: Perception Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight…
Multiverse Computing Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software…
DevOps Engineer (Data & AI Platform) Location: Mexico City Department: Engineering About Us SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United…
Staff Data Scientist - Ads (AI Native) Team: Analyst Location: Canada Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps.…
Build and validate resilient distributed systems for Canonical's cloud orchestration tools (Juju, OpenStack, Kubernetes) using Python/Go, and create automated testing pipelines for reliability and performance across multi-cloud environments.
Build and validate resilient distributed systems using Python/Go, focusing on CI pipelines, cloud-native testing, and AI/ML analysis for Canonical's Ubuntu and Juju cloud solutions.
Build and maintain the MLOps infrastructure for an AI-first video platform, enabling ML engineers to ship models fast and reliably on GCP using GitOps, Kubernetes, and tools like MLflow and Kubeflow.
Software Development Engineer in Test Location: On Site, Palo Alto, California About Clockwork Systems Clockwork.io – Software Driven Fabrics to increase GPU cluster utilization Clockwork Systems was founded by…
Build and maintain the Kubernetes-based platform that runs large-scale data processing, simulation, and ML training for an autonomous-vehicle company.
AI Architect Location: US Nationwide - Remote Time Type: Full time Job Description Job Description SUMMARY : The AI Architect is responsible for designing and delivering production-ready AI solutions across the…
We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever,…
Builds and optimizes cloud-native infrastructure for distributed AI training, inference, and data pipelines at a leading enterprise AI platform.
Build and optimize the cloud infrastructure that powers Fireworks AI’s generative AI platform, focusing on distributed systems, multi-cloud reliability, and ML workload efficiency.
AI/ML Engineer Location: Arlington, VA Department: WDP 540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain…
Design and build scalable AI data platforms and pipelines that turn enterprise and multimodal data into trusted, AI-ready datasets for GenAI, Agentic AI, and Embodied AI solutions at Apple.
Design, build, train, and deploy predictive models using machine learning and deep learning to solve business problems, with a focus on regression, classification, NLP, and computer vision using Python, TensorFlow/PyTorch, and SQL.
Build and maintain cloud and hybrid infrastructure for AI-driven transport systems, ensuring reliable, secure, and scalable AI workloads for Singapore's land transport network.
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