Intuit is looking to hire an ML Engineer to help conceive, code, and deploy data science models at scale using the latest industry tools.
Requirements
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- high-performance data processing
- machine learning algorithm exploration
- automation of training and prediction
- orchestration of data for continuous prediction
- understand the specifics of the algorithm implementation
Responsibilities
- Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.
- Build prototype models alongside data scientists. This may involve data exploration, high-performance data processing, and machine learning algorithm exploration.
- Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale.
Other
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
- Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.
- The expected base pay range for this position is: Bay Area California,CA: $137,500.00 - 186,500.00 Southern California,CA: $124,500.00 - 168,500.00 New York $136,000.00 - 184,000.00
