Remote Ml Infrastructure Jobs

…primary need is a production ML and evaluation authority who also builds production agent systems.

Experience that helps: GPU and ML infrastructure: capacity planning, training or inference pipelines

…employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed.

infrastructure, tooling and support for ML teams.

As a Senior ML Engineer, you will run the experiments that decide how that system improves, and ship the winners to production.

What you'll do: Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth,

…a senior engineer on the ML Infrastructure and Platform group, you will help architect and build the foundational infrastructure for AI and

Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure.

MLOps: Build infrastructure that enables ML model development and deployment in production systems.

…explore new models, research, and infrastructure.

…experience building and deploying AI/ ML systems in production, including MLOps, model serving and inference infrastructure, feature

What You Have Experience building ML infrastructure, distributed systems, or research tooling, with ownership

Experience with ML infrastructure, PyTorch, GPU workloads, or model-serving systems.

…design and deploy both traditional ML models and infrastructure (contextual bandits to manage ad spend, shipment ETA predictions) and LLM-powered systems

of HUD’s core infrastructure and backend systems.