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Oracle Principal Machine Learning Engineer, Data Flow Team (JoinOCI-SDE) in Chicago, Illinois

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems.

Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 7 years of software engineering or related experience.

Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.

Principal ML Engineer - Data Flow Team

Cloud Engineering Infrastructure Development

Are you interested in building large-scale distributed infrastructure for the cloud?Oracle Cloud Infrastructure(OCI) is building a next generation cloud platform that supports the most demanding mission-critical customer requirements, operating at global scale to provide a secure, distributed, multi-tenant cloud environment.

Our mission is to provide our customers with best in class compute, storage, networking, database, security, and an ever-expanding set of foundational cloud-based services.

Oracle Cloud Infrastructure Data Flowis a fully managed big data service that lets you run Apache Spark applications with no infrastructure to deploy or manage. It lets you deliver big data and AI applications faster because you can focus on your applications without getting distracted by operations.

As an ML engineer you will work on the autoscaling & autotuning team. You will have deep expertise in data ingestion, training, testing, and deploying models at scale using Spark, Tensorflow, Keras, etc. You will have expertise in building, deploying, and supporting distributed API’s at scale. A successful candidate will be a problem solver who enjoys working on difficult modeling/ engineering challenges within unique space, and possesses strong communication skills to effectively interface with other engineering and product teams.

_Basic Qualifications:_

  • MS/BS in Computer Science

  • 3 years professional work experience with Machine Learning

  • 10 years of experience as a software engineer

  • 4 years of relevant working experience in big data technologies like Hadoop/Hive/ Spark

  • 5 years of experience in building distributed API’s

  • 5 years in Java/ C / C# experience

  • Deep understanding of the mathematical foundations of Machine Learning algorithms

  • Demonstrated expertise of working hands-on in modeling and operating on large data sets

  • Ability to quickly prototype new ideas and use creative approaches to solve complex problems

  • Experience with cloud (Amazon AWS, MS Azure, etc.)

  • Hands-on experience with deep learning frameworks: TensorFlow, Keras, Pytorch, Caffe, etc.

  • Experience with Machine learning libraries such as scikit-learn, numpy, scipy, pandas, PIL, OpenCL

  • Ability to collaborate closely with cross functional teams

  • Excellent written and oral communication skills

  • Self-motivated and self-starter

_Preferred Qualifications:_

• Master Degree or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics

• Experience working with distributed computing technologies

• Experience working with Oracle databases like ADW or Exadata

• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to non-technical audiences

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

As part of Oracle’s employment process candidates will be required to complete a pre-employment screening process, after a conditional offer has been extended.

Job: *Product Development

Organization: *Oracle

Title: Principal Machine Learning Engineer, Data Flow Team (JoinOCI-SDE)

Location: WA,Washington-Seattle

Requisition ID: 20000XDV

Other Locations: United States