Intuit
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Machine Learning Engineer 2
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Intuit Overview
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. 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. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Qualifications
Model Prototyping: Build prototype models alongside data scientists, including data exploration, high-performance data processing, and machine learning algorithm exploration. Provide rationale for model choice and metrics to evaluate models. Model Productionalization: Productionalize prototype models for customer use at scale, including increasing data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. Understand data details and provide metrics to compare models. Model Enhancement: Improve existing codebases to enhance prediction performance or reduce training time; understand algorithm implementation to improve it. Machine Learning Tools: Build tools for projects to ease the data science process, such as speeding up training, data processing, or data management tooling. Qualifications (continued)
BS, MS, or PhD in Computer Science or related field, or equivalent practical experience. Knowledge of data science tools and frameworks (e.g., Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (classification, regression, clustering). Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. This position may be eligible for a cash bonus, equity rewards, and benefits, according to applicable plans and programs. Pay is based on factors such as job-related knowledge, skills, experience, and location. Intuit conducts regular compensation comparisons to drive fair pay across ethnicity and gender. The expected base pay ranges are provided by location and may vary by experience and other factors. What you'll bring How you will lead Seniority level
Associate Employment type
Full-time Job function
Engineering and Information Technology Software Development Referrals increase your chances of interviewing at Intuit. Get notified about new Machine Learning Engineer jobs in
New York, NY . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Machine Learning Engineer 2
role at
Intuit Overview
In this role, you’ll be embedded inside a vibrant team of data scientists. You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools. Important skills include data wrangling, feature engineering, developing models, and testing metrics. 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. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Qualifications
Model Prototyping: Build prototype models alongside data scientists, including data exploration, high-performance data processing, and machine learning algorithm exploration. Provide rationale for model choice and metrics to evaluate models. Model Productionalization: Productionalize prototype models for customer use at scale, including increasing data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction. Understand data details and provide metrics to compare models. Model Enhancement: Improve existing codebases to enhance prediction performance or reduce training time; understand algorithm implementation to improve it. Machine Learning Tools: Build tools for projects to ease the data science process, such as speeding up training, data processing, or data management tooling. Qualifications (continued)
BS, MS, or PhD in Computer Science or related field, or equivalent practical experience. Knowledge of data science tools and frameworks (e.g., Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Basic knowledge of machine learning techniques (classification, regression, clustering). Intuit provides a competitive compensation package with a strong pay-for-performance rewards approach. This position may be eligible for a cash bonus, equity rewards, and benefits, according to applicable plans and programs. Pay is based on factors such as job-related knowledge, skills, experience, and location. Intuit conducts regular compensation comparisons to drive fair pay across ethnicity and gender. The expected base pay ranges are provided by location and may vary by experience and other factors. What you'll bring How you will lead Seniority level
Associate Employment type
Full-time Job function
Engineering and Information Technology Software Development Referrals increase your chances of interviewing at Intuit. Get notified about new Machine Learning Engineer jobs in
New York, NY . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr