Machine Learning Engineer 2

Intuit is seeking a Machine Learning Engineer 2 to join their vibrant team of data scientists. In this role, you'll be embedded in a dynamic environment where you'll help conceive, code, and deploy data science models at scale using the latest industry tools. Your responsibilities will include data wrangling, feature engineering, developing models, and testing metrics.

Key responsibilities:

• Discover, access, import, clean, and prepare data sources for machine learning
• Collaborate with data scientists to create and refine features, build pipelines for model training and deployment
• Implement, refine, and design machine learning algorithms
• Conduct A/B tests, perform statistical analysis, and evaluate model impact
• Work cross-functionally with product managers, data scientists, and product engineers
• Explore new technologies to enhance customer benefits

Qualifications:

• BS, MS, or PhD in Computer Science or related field, or equivalent practical experience
• Proficiency in Data Science tools and frameworks (Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark)
• Basic knowledge of machine learning techniques (classification, regression, clustering)
• Experience in model prototyping, productionalization, and enhancement
• Ability to build and improve machine learning tools for various projects

Intuit offers a competitive compensation package, including base pay, cash bonus, equity rewards, and comprehensive benefits. The company is committed to pay equity and conducts regular comparisons across categories of ethnicity and gender.

Join Intuit's award-winning culture and work on innovative products that empower millions of customers worldwide to take control of their finances. Experience the freedom to work with cutting-edge technologies while solving challenging financial problems for customers.