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McKinsey & Company in Tempe, AZ seeks a Machine Learning Engineer who can switch between A/B Testing and Databricks, delivering internship projects with real ownership.
You will pair with cross-functional partners, push CV changes behind flags, and carry features from whiteboard to production, mentoring newer hires on LLM wiring; the role blends Spark work with Excel growth. The position promises a dynamic review cycle and clear expectations.
McKinsey & Company needs a Machine Learning Engineer in Tempe, AZ who can context-switch between A/B Testing and Databricks without losing the plot or their patience. This is where 4 years becomes $76,000 - $104,000, where internship hours meet real technology ownership, and where McKinsey & Company bets on you.
The whole point of McKinsey & Company is to make Work Ethic dependable, and that quick-to-ship mission has anchored it in Tempe from day one. The McKinsey & Company promise is plain: clear expectations, real autonomy, and zero surprise reviews.
The Machine Learning Engineer role earns $76,000 - $104,000 and opens doors to cross-functional projects that accelerate your Apache Spark and Excel growth.
Applications submitted this week are going straight into our current review cycle.