Senior Software Engineer - ML Tooling and Evaluation

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About this kind of role

What a Senior Software Engineer - ML Tooling and Evaluation usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains software tools and infrastructure to support machine learning model development, training, and evaluation. This includes building pipelines for data processing, feature engineering, model deployment, and performance monitoring. Responsibilities often involve collaborating with machine learning scientists and engineers to improve the efficiency and reliability of ML workflows. The role frequently requires a focus on automation, scalability, and reproducibility.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (e.g., AWS, Azure, GCP), familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch), and knowledge of DevOps practices are generally required.

Good fit for: Individuals with a strong software engineering background and a passion for enabling machine learning innovation thrive in this role.