AI/ML – Infrastructure Engineer for Machine Learning Systems

Job Overview

Key Qualifications

5+ years of professional work experience in software development.

Strong programming and software engineering skills

Experience designing and implementing large-scale data and compute intensive pipelines and/or tools.

Experience working with ML pipelines and products.

Proficiency in Python (preferred), and one other OO language.

Strong organizational skills and experience working with multiple stakeholders.

Ability to develop long term vision and execute strategies at scale.

PREFERRED:

Knowledge of statistics based testing approaches, ML training pipelines and accuracy improvements of ML systems.

Experience in fast-paced, agile work environments.

Description

You will own requirements, inclusive of ‘proof of concept’ development, and co-own the development roadmap. The ideal talent will define success by completing full product cycle from design, implementation, feedback and iteration on systems, frameworks and tools for the Siri ML teams. This superb engineer will own system integration and contribute to how their software is used in test plans and continuous integration of ML models.The quintessential candidate will help build, measure and use their software to provide insights to the impact of platform changes. You will think of strategic and creative ways to evaluate and improve Siri user experience.

Education & Experience

BS/MS in Computer Science or related field

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