Managing Machine Learning Engineer

Yesterday

🇺🇸 United States – Remote

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

💵 $157.6k - $234.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Allstate

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Auto Insurance • Life Insurance • Retirement Planning • Homeowners Insurance • Motorcycle Insurance

10,000+ employees

Founded 1931

💰 Post-IPO Equity on 2014-01

Description

• Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. • Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence with an emphasis on generative AI, to create a world-class customer experience that transcends boundaries. • Become a part of our story... At Allstate Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what is possible. • The Managing MLE will lead a small team of junior and senior MLEs. • At Allstate, we believe in the player/coach model where our Managing MLEs spend a significant majority of their time solving complex problems and applying their skills to create business value.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or another quantitative major. • A Ph.D. is a plus. • Deep understanding of machine learning algorithms and principles. • Prior experience prompting large language models and building RAG applications. • Ability to navigate decisions between traditional modeling and GenAI. • Ability to collaborate effectively with product managers, engineers, and business leaders. • Demonstrated experience in leading ML teams, managing complex projects, and mentoring junior data scientists. • 5+ years of experience in programming languages like Python, Java, or C++. • 5+ years of experience using machine learning frameworks like PyTorch, TensorFlow, or Scikit-learn. • Prior experience using natural language processing, computer vision, or knowledge representation and reasoning to solve a business problem. • Prior experience in employing deep learning techniques for solving business problems is a plus. • Prior experience using cloud services (AWS, Azure, GCP) is a plus.