Senior ML Engineer

Role overview Build and run machine learning systems for business customers, taking models from early investigation through production deployment. The work spans the full lifecycle, including developing models and making them reliable in live environments.

Responsibilities - Develop and deploy machine learning systems for production use. - Own work across the ML lifecycle, from research to serving. - Apply Python and an ML framework to implement solutions. - Use MLOps practices and tools to support model deployment and operations.

Requirements - At least five years of machine learning engineering experience. - Strong Python skills. - Experience with at least one of PyTorch, TensorFlow, or JAX. - Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker.

Nice to have - Experience putting large language models into production.

Benefits and work setup - Full-time role, remote within the United States.