Quicken Loans

Machine Learning Engineer

Quicken Loans$107K — $241K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in computer science, software development, algorithm design, artificial intelligence, machine learning, or equivalent experience.
  • 1 year of experience in machine learning with libraries (e.g., Scikit-learn, TensorFlow).
  • 1 year of experience handling large datasets, both structured and unstructured.
  • 1 year of programming experience in Java or Python.
  • 1 year experience with Hadoop ecosystem (Apache Hive, Pig, HBase, Kafka).
  • Experience with distributed computing platforms like Spark and UI frameworks such as Angular or React.
  • Knowledge of cloud computing (AWS or Azure).

Responsibilities

  • Collaborate with data scientists to develop algorithms and tools for simulations.
  • Build services that enable interaction with machine learning models.
  • Participate in code reviews to maintain code quality and share best practices.
  • Develop services that host trained models and integrate them with business processes.
  • Gather and analyze large datasets to create data model pipelines.
  • Create algorithms for automated data-driven decision-making.
  • Develop tools for monitoring the performance of machine learning applications.

Benefits

  • Health and well-being support for employees and their families.
  • Comprehensive perks designed to enhance peace of mind.
  • Commitment to an inclusive workplace where every voice is heard.
Full Job Description
As a Machine Learning Engineer, you will design and develop the platforms and frameworks that facilitate automated data-driven decision-making, gather data, and determine statistical algorithms and models that a system can use to learn from experience, predict outcomes, and make decisions.

About the role
  • Collaborate with data scientists to develop algorithms and tools for training and running simulations
  • Build services to interact with machine learning models through simulations
  • Participate in code reviews to ensure code quality and share best practices
  • Develop services that host the trained models and work with other application teams to integrate them into business processes
  • Gather and analyze large datasets and develop data model pipelines
  • Develop algorithms that drive automated data-driven decision-making
  • Build the tools for monitoring the performance of machine learning applications


About you

Minimum Qualifications
  • Master's degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience


Preferred Qualifications
  • 1 year of experience in machine learning and using libraries such as Scikit-learn, TensorFlow, Caffe, Keras, etc.
  • 1 year of experience working with large datasets, structured and unstructured
  • 1 year of programming experience, including Java, or Python
  • 1 year of experience with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka)
  • 1 year of experience with distributed computing platforms, such as Spark, and user interface frameworks, such as Angular or React
  • 1 year of experience with cloud computing providers such as AWS or Azure
  • Ph.D. in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience
  • Proficiency in the Microsoft Office suite
  • Strong object-oriented programming skills, including proficiency in Java, Scala, C/C++ or Python
  • Knowledge of big data


What you'll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $107,000.00-$241,500.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position.

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