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Lead Machine Learning EngineerChevron • United States
Postuler Maintenant
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Lead Machine Learning Engineer

Chevron
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Total Number of Openings
1
Chevron is accepting online applications for the position
Machine Learning Engineer, Subsurface and Wells Insights
through
07/08, 2026
at
11:59 p.m.
(Central Time).
Chevron is seeking a Machine Learning Engineer to build and scale production AI solutions that drive critical decisions across subsurface and wells operations.
In this role, you will partner with data scientists, software engineers, and domain experts to transform advanced AI/ML models into reliable, enterprise-grade systems. These systems are built on and integrated with enterprise data platforms and systems, enabling scalable, cross-domain use of AI across upstream operations. The resulting solutions are used directly by engineers and geoscientists to improve reservoir understanding, optimize production, and enhance drilling and completions performance.
This is a high-impact role focused on deploying AI at scale. You will bridge the gap between experimentation and production while delivering measurable business outcomes across Chevron’s upstream operations.
Responsibilities for this position may include but are not limited to:
Solution Design & Development
Design and deliver production-grade machine learning solutions aligned with business workflows and enterprise architecture
Partner with data scientists, data engineers, and IT teams to integrate models into enterprise data platforms, pipelines, and digital products
Collaborate with subsurface and wells domain experts to translate business challenges into deployable AI/ML solutions
Select appropriate data sources, technologies, and design patterns to solve complex problems using AI/ML
Support integration of ML capabilities into tools used by geoscientists, reservoir engineers, and drilling and production teams
Model Operationalization
Convert prototypes into reliable, production-ready solutions deployed in distributed and cloud-native environments
Implement end-to-end MLOps practices, including model versioning, automated retraining, and lifecycle management
Optimize models for performance, scalability, latency, and cost efficiency
Configure infrastructure to support resilient and highly available ML workloads
Ensure solutions meet enterprise standards for security, reliability, and maintainability
Deployment & Integration
Build and maintain CI/CD pipelines for automated model testing, deployment, and release
Deploy and manage models using cloud-native tooling such as Azure ML, containerization, and orchestration platforms
Integrate ML solutions with APIs, enterprise systems, and downstream business applications
Leverage automation to improve delivery speed, consistency, and reliability
Monitoring & Maintenance
Implement monitoring, alerting, and observability for deployed models and data pipelines
Detect and address model drift, data quality issues, and performance degradation
Partner with stakeholders to ensure model outputs drive accurate, consistent, and high-value decisions
Troubleshoot complex system and integration challenges across distributed environments
Required Qualifications:
Bachelor's degree in Engineering, Computer Science, Data Science, or a related technical field.
Minimum 7 years of hands-on experience in software engineering, ML engineering, or enterprise data platforms
Strong proficiency in Python with solid software engineering fundamentals including testing, version control, and modular application design.
Proven track record of deploying machine learning models and enterprise data-driven platforms into production environments at scale.
Solid understanding of the AI/ML lifecycle, including data preparation, model training, evaluation, deployment, and inference.
Experience with Azure cloud services, including Azure Machine Learning, data platforms, and enterprise integration patterns.
Experience building and maintaining CI/CD pipelines and applying DevOps practices for ML systems.
Strong understanding of data governance principles (e.g., Lineage, MDM) and integration across enterprise systems.
Demonstrated ability to troubleshoot complex distributed systems and work across cross-functional teams.
Preferred Qualifications:
Master's or Ph.D. in Engineering, Computer Science, Data Science, or a related field.
10+ years of relevant technical and enterprise experience in AI, data platforms, or digital transformation.
Experience with large-scale enterprise data architectures and complex analytical workloads.
Deep understanding of model lifecycle management, performance optimization, and ML system design patterns in enterprise environments.
Experience deploying, operating, monitoring, and optimizing generative AI systems, including agent-based and AI-assisted decision-support solutions in enterprise environments.
Domain experience in upstream oil & gas, including subsurface, wells, and production.
Experience enabling AI adoption, defining enterprise roadmaps, and delivering measurable business value through data and AI solutions.
Relocation Options:
Relocation
will not 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.
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com .
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at www.chevron.com .
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.
  • United States

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