AI Optimization Engineer

Oxy; Georgia; On-site; USD 140,000 - 190,000; Full time

Job summary

Oxy seeks an experienced AI Optimization Engineer to join the Applied AI Center of Excellence in Houston, TX. You will develop decision systems using optimization, ML, and control techniques to improve operations and business outcomes.

You will work with subject matter experts to identify data sources, build data pipelines and APIs, and deliver clear, actionable insights for decision-makers across the organization.

Qualifications

• Master’s degree in Engineering, Applied Mathematics, or a related field.
• Strong knowledge of optimization methods, including dynamic, parametric, and non-parametric approaches.
• Experience in dynamic and/or static system modeling.
• Experience designing and implementing advanced control techniques such as Model Predictive Control (MPC), and adaptive control.
• Knowledgeable in system identification and state estimation methods such as Kalman filtering and Moving Horizon Estimation (MHE).
• Knowledgeable in machine learning concepts and their application to modeling, optimization, or control problems.
• Proficient in Python.
• Experience with Git version control.
• Possession of excellent oral and written communication skills.
• Effective team player who takes an active role in team responsibilities.
• Strong time management skills.
• Ability to work with minimum of supervision.

Responsibilities

• Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.
• Collaborate with subject matter experts to select the relevant sources of information and formulate the right questions and problems.
• Identify what data is available and relevant, leveraging and creating data input and output pipelines and application programming interfaces (APIs).
• Provide feasible and real‑life practical solutions, and demonstrate the scientific qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.
• Present and depict the rationale of findings in easy‑to‑understand terms for the business.
• Present back results that contradict common belief, if needed.

Skills

Optimization methods

Dynamic modeling

MPC

Adaptive control

Kalman filtering

Moving Horizon Estimation

Machine learning concepts

Python

Git

Communication

Teamwork

Time management

Education

Master’s degree in Engineering or Applied Mathematics

Tools

Docker

Kubernetes

AWS

Job description

Oxy produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. The company leverages its global leadership in carbon management to advance lower‑carbon technologies and products. Headquartered in Houston, Oxy primarily operates in the United States, Middle East and North Africa. To learn more, visit Oxy

Oxy strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth. Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment and positively impacting our communities where we do business.

We are looking for an experienced and innovative leaderto fill the position of AI Optimization Engineer within ourApplied AI Center of Excellence group based in Houston, TX.

Essential Job Responsibilities

• Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.

• Collaborate with subject matter experts to select the relevant sources of information and formulate the right questions and problems.

• Identify what data is available and relevant, leveraging and creating data input and output pipelines and application programming interfaces (APIs).

• Provide feasible and real‑life practical solutions, and demonstrate the scientific qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness.

• Present and depict the rationale of findings in easy‑to‑understand terms for the business.

• Present back results that contradict common belief, if needed.

Qualifications:

• Master’s degree in Engineering, Applied Mathematics, or a related field.

• Strong knowledge of optimization methods, including dynamic, parametric, and non‑parametric approaches

• Experience indynamic and/or static system modeling.

• Experience designing and implementing advanced control techniques such as Model Predictive Control (MPC), and adaptive control.

• Knowledgeable in system identification and state estimation methods such as Kalman filtering and Moving Horizon Estimation (MHE)

• Knowledgeable in machine learning concepts and their application to modeling, optimization, or control problems

• Proficient in Python

• Experience with Git version control

• Possession of excellent oral and written communication skills.

• Effective team player who takes an active role in team responsibilities.

• Strong time management skills.

• Ability to work with minimum of supervision.

Additional Qualifications:

• Knowledge of the oil and gas industry.

• Familiarity with AWS or similar cloud platforms.

• Familiarity with Docker for containerization and Kubernetes for orchestration.

Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.