Chevron Corporation

Lead Machine Learning Engineer

Chevron Corporation$120K — $160K *
Energy & Utilities
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Data Science, or related field
  • At least 7 years of experience in software engineering or ML engineering
  • Strong proficiency in Python and software engineering fundamentals
  • Proven experience deploying machine learning models into production environments
  • Solid understanding of the AI/ML lifecycle
  • Experience with Azure cloud services and enterprise integration
  • Ability to troubleshoot complex distributed systems

Responsibilities

  • Design and deliver production-grade machine learning solutions
  • Integrate models into enterprise data platforms and pipelines
  • Translate business challenges into deployable AI/ML solutions
  • Optimize models for performance, scalability, and cost efficiency
  • Build and maintain CI/CD pipelines for automated deployments
  • Implement monitoring and observability for deployed models
  • Troubleshoot system and integration challenges

Benefits

  • Access to advanced technology and AI solutions
  • Work with a multidisciplinary team of experts
  • Opportunity to influence critical business decisions
  • Exposure to high-impact projects in the oil & gas sector
  • Support for continuous professional development and growth
Full Job Description
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:

About Chevron Corporation

Chevron Corporation is an integrated energy and technology company that believes affordable, reliable, and ever-cleaner energy is essential to enabling human progress.

Chevron Corporation Careers

Join Chevron Corporation, a global leader in energy and technology, and become part of a team that values innovation, leadership, and diversity. At Chevron, we are committed to fostering a culture of growth and opportunity, making it an ideal place for professionals seeking a dynamic and rewarding career path. Work You’ll Do At Chevron, you will collaborate with some of the brightest minds in the industry, working together to solve the world’s toughest energy challenges. Our team’s dedication to excellence and innovation drives our leadership in the energy sector and contributes to our robust company growth. Chevron offers a variety of job opportunities across multiple fields, including engineering, finance, information technology, and environmental science. Whether you are a seasoned professional or a recent graduate, Chevron provides an environment where your skills will be honed, and your professional aspirations can be realized. Internship Programs Start your career on the right foot with a Chevron internship. Our internships provide invaluable workplace experience and networking opportunities that often lead to full-time employment at Chevron after graduation. Interns at Chevron work on real projects, receive mentorship from experienced leaders, and learn about the energy industry from the inside out. Benefits and Culture Chevron is dedicated to supporting our employees’ well-being and work-life balance. Our comprehensive benefits package includes health care, competitive retirement plans, and paid time off. Moreover, we are proud of our inclusive culture that celebrates diversity and fosters an environment of respect and collaboration. Career Development Investing in our employees’ careers is a priority at Chevron. We offer extensive training and development programs, including leadership development, diversity training, and technical skills enhancement, to ensure every team member can achieve their career goals. Chevron’s commitment to professional growth makes it a premier place to advance your career. Join Our Team Explore the numerous career paths available at Chevron and discover how your talents can make a global impact. We are actively hiring and looking for individuals who are passionate, curious, and ready to lead. Check out our open positions, tailor your resume, and prepare for an interview that could set the stage for a fulfilling career at Chevron. Stay Connected Keep up to date with the latest from Chevron careers by subscribing to our job alert emails. Get tailored advice, read about our company culture and the experiences of employees through our careers blog, and learn about the industry trends that could influence your career decisions. Chevron Corporation is not just a company; it’s a place where you can shape the future of energy and grow as part of a global team committed to excellence. Join us and be part of a legacy of leadership, innovation, and diversity that defines the future of energy.
Learn more about Chevron Corporation
Size
42,595 employees
Market Cap
$336.9 billion
Industry
Net Income
-$5.5 billion
Founded
1879
5 Year Trend
+7.1%
Revenue
$94.2 billion
NASDAQ

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