Machine Learning Engineer 2

Intuit, a leading global financial technology platform serving 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, is seeking a Machine Learning Engineer 2 to join their innovative team. In this role, you'll be embedded within a vibrant team of data scientists, where you'll help conceive, code, and deploy data science models at scale using cutting-edge industry tools.

The position offers a competitive compensation package ranging from $136,000 to $184,000, along with cash bonuses and equity rewards. You'll be working in a collaborative environment, partnering with data scientists to build and deploy machine learning solutions that directly impact millions of customers.

Key responsibilities include data wrangling, feature engineering, model development, and metrics testing. You'll be involved in discovering and preparing data sources, building training pipelines, implementing machine learning algorithms, and conducting A/B tests to measure model impact. The role requires strong technical skills in Python, data science frameworks, and machine learning techniques.

This is an excellent opportunity for someone with a computer science background who is passionate about applying machine learning to solve real-world financial technology challenges. You'll be working with a diverse team of professionals, including product managers, data scientists, and engineers, while contributing to products that help customers manage their financial lives.

The position offers flexibility with multiple location options including Mountain View, San Diego, Atlanta, and New York, making it an attractive opportunity for candidates seeking to work with a leading tech company while maintaining work-life balance. Join Intuit to be part of a company that values innovation, customer obsession, and professional growth.