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Chevron Corporation Machine Learning (ML) Engineer in Houston, Texas

Chevron is one of the world's leading energy companies, with approximately 48,000 employees working in countries around the world. We explore, produce and transport crude oil and natural gas; refine, market and distribute fuels and other energy products; manufacture and sell petrochemical products; generate power; and develop future energy resources.

Chevron’s data science engineering center of excellence is accepting online applications for the position of Machine Learning Engineer located in San Ramon, CA/Houston , TX through October 18, 2019 at 11:59 p.m. (Eastern Standard Time).

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Responsibilities for this position may include but are not limited to:

  • Consistently deliver complex, innovative, and complete solutions, driving them through design, planning, development, deployment and support that simplify business processes and workflows to drive business value

  • Work collaboratively with a large variety of different teams, including data scientists, data engineers, and solution architects from various organizations within business units and IT

  • Transform machine learning and optimization prototypes into appropriate solutions in a production environment

  • Run machine learning experiments and fine-tune algorithms to ensure optimal performance

  • Train and retrain systems when necessary

  • Extend existing machine learning libraries and frameworks

  • Participate as an active member in embedded Agile team to enable cross training and keeping skills current

Required Qualifications:

  • BS in Computer Science, Mathematics, or related fields or equivalent experience

  • 5+ years’ experience in Object Oriented Design and Programming,

  • Ability to write robust code in Python, Java, and R.

  • Proficient in applying common design patterns, ability to communicate design ideas effectively

  • Must have a disciplined, methodical, minimalist approach to designing and constructing layered software components that can be embedded within larger frameworks or applications

  • Working knowledge of math, probability, statistics, and algorithms

  • Working knowledge of machine learning frameworks (i.e. Keras and PyTorch) and machine learning libraries (i.e. scikit-learn)

Preferred Qualifications:

  • MS in Computer Science, Mathematics, or related fields

  • Hands-on experience with Azure Cloud, Azure DevOps, Service Now, Ansible, Jenkins

  • Hands-on experience in deploying machine learning solutions

  • Exceptional object-oriented programming and debugging skills in Python, Java, R, and Microsoft .NET

  • A keen eye for good architecture and the ability to develop new architectures and frameworks

  • Passionate and detailed approach to software development

  • Knowledge of security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, production support and other SaaS enterprise software issues

  • Proficient in major development tools and processes, such as source control, requirement spec, design and design review, unit test, system test, performance test, etc

  • Proven ability to take leadership role in projects that span multiple teams, ability to deliver on time working in a fast paced agile environment, ability to work with product managers to clarify and prune requirements, strong verbal and written communication

Relocation Options:

Relocation may be considered.

International Considerations:

Expatriate assignments will not be considered.

Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.

Regulatory Disclosure for US Positions:

Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.

Chevron participates in E-Verify in certain locations as required by law.

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