Machine Learning Engineer 2

Intuit • Mountain View, CA

67d • $124,500 - $186,500

About The Position

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.

Requirements

• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
• 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).

Nice To Haves

• Experience with model prototyping and productionalization.
• Familiarity with enhancing model prediction performance or reducing training time.
• Experience in building tools for data science projects.

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.

Benefits

• Competitive compensation package with a strong pay for performance rewards approach.
• Eligible for a cash bonus, equity rewards and benefits.
• Regular comparisons across categories of ethnicity and gender to ensure fair pay.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree