Senior Machine Learning Engineer

Key Skills

Agile methodologies, Ansible, Apache Beam, AWS, Azure, Dataproc, Distributed computing, Docker, Effective communication skills, Google BigQuery, Google Cloud Platform (GCP), Google Dataflow, Jenkins, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Python Programming, SPARK Programming, SQL, Statistical modeling, Terraform

Job Description

We apply that same dedication to creating a diverse and inclusive work culture that inspires innovation and bold thinking. A place where individuals can work on small teams, feel valued, and directly impact the real estate industry. We believe our team members are the best in the business, and we will continue to recruit, retain, develop and reward our most important asset – our people!

As a member of CoreLogic’s Science and Machine Learning Engineering team you will participate in building models for the global real estate market. This position will allow you to work with other machine learning engineers to create new models using a variety of machine learning techniques and technologies on Google Cloud Platform.

Job Responsibilities:

• Work with product managers, machine learning engineers, and data science modelers to bring new models and enhancements to existing models to production
• Work with product managers and machine learning engineers to understand and document the technical requirements for the systems that will run models
• Estimate the effort required to implement new models or modify existing models
• Architect/design the software environments needed to both build and run the models on Google Cloud Platform
• Design and implement the software used to acquire and transform the data for use in the models
• Works with other engineering teams to integrate the models into CoreLogic’s products
• Employ agile methodologies and practices leading or participating on teams of machine learning engineers
• Monitor and report to management on the status of project efforts, anticipate/identify issues that inhibit the attainment of project goals, and implement corrective actions
• Foster and maintain good relationships with customers and other teams within CoreLogic to meet expected delivery dates and service levels

Job Qualifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or Machine Learning
• 5 or more years of experience with software development
• Experience designing system architectures and applications in cloud-based environments
• Experience with distributed parallel computing
• Fluent in Python
• Knowledge and experience with SQL
• Good Linux shell scripting skills
• Knowledge and experience with Google Cloud Platform, Cloud Dataflow/Beam, Kubernetes, Docker, Pub/Sub, BigQuery, Dataproc/Spark, or similar technologies on AWS or Azure.
• Knowledge and experience with Terraform and Ansible
• Knowledge and experience with Jenkins
• Good source code management disciple with experience using Git
• Experience writing automated unit tests
• Working knowledge of statistics
• Knowledge and experience with machine learning techniques and tools
• Strong written and verbal communication skills
• Experience with iterative agile development methodology

Preferred Qualifications:

• Master’s degree in Data Science or Machine Learning

Annual Pay Range:

• 106,900 - 145,000 USD

CoreLogic benefits information can be found here: http://www.yourcorebenefits.com/. Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range.