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Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.
Senior Software Engineer at Databricks building and scaling AI Runtime, a managed GPU training platform for large-scale AI model training and fine-tuning, using distributed systems and cloud infrastructure.
Designs and runs the infrastructure that powers AI research at Databricks, building systems to schedule and orchestrate large-scale training and inference workloads across thousands of GPUs.
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We…
Designs, builds, and maintains scalable backend services for a large-scale data and AI platform, using Java/Scala, cloud technologies, and distributed systems.
Build and scale ML infrastructure and agentic AI workflows to accelerate AI-driven protein design and genetic medicine research.
Designs and deploys AI infrastructure for training biological foundation models, managing GPU clusters, storage, and MLOps tooling to support drug discovery research.
Designs and optimizes GPU-accelerated infrastructure for GenAI/LLM workloads, focusing on distributed training, performance tuning, and production-grade deployments in multi-GPU environments.
Designs and optimizes GPU-based infrastructure for GenAI/LLM workloads, focusing on distributed training, performance tuning, and scalable deployments across cloud and on-prem environments.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including…
The Software Engineer will build and optimize ML infrastructure and cloud development environments to support autonomous driving research. The role focuses on multi-cloud architecture, distributed training optimization, and developing Agentic AI tools using Python, Go, or C++.
Principal Product Manager owning DataRobot's AI infrastructure control plane—deployment APIs, workload placement on Kubernetes with GPU accelerators, autoscaling, agent runtime isolation, multi-tenancy, and metering across two engineering pods.
Builds and deploys enterprise-scale AI systems, focusing on multi-agent architectures with LLMs for healthcare workflows using Google Cloud tools.
Design, optimize, and debug large-scale distributed GPU training systems for multimodal foundation world models, focusing on numerical precision, fault diagnostics, and performance profiling across PyTorch, CUDA, and distributed training frameworks.
Design, deploy, and optimize large-scale bare-metal GPU clusters (Slurm, Kubernetes) for distributed training of multimodal foundation models at a Physical AI startup.
Senior Deep Learning Engineer designing, training, and deploying perception models for ADAS systems on embedded automotive SoCs using Python and PyTorch/TensorFlow.
The Role We're looking for a Machine Learning Engineer who thrives at the intersection of data science and production systems. You'll design and deploy scalable ML pipelines, optimize model performance, and…
Role Summary Optimize and fine-tune large language models (GPT-4o, Claude, Llama-3, etc.) for client-specific tasks in English, Arabic, Urdu, and Bengali. Key Responsibilities Collect, clean, and annotate domain data…
Build and optimize small language models for practical use, focusing on efficient training, safety, and deployment within Postman’s API platform.
AI/ML Engineer, Senior Location: Alexandria, VA, Springfield, VA, Dayton, OH Time Type: Full time Job Description AI/ML Engineer, Senior The Opportunity: As a Senior Artificial Intelligence and Machine Learning (AI/ML)…
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