AI Optimization Engineer

Oxy • Houston, TX

1d • Onsite

About The Position

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 leader to fill the position of AI Optimization Engineer within our Applied AI Center of Excellence group based in Houston, TX.

Requirements

• PhD in Statistics, Mathematics, Engineering, Computer Science, or related field.
• Deep industrial/academic experience with applying Mathematical Optimization, Machine Learning, and/or Deep Learning.
• Highly experienced and educated in data structures and principles of algorithm designs and analyses, linear algebra, probability and statistics, and numerical methods.
• Proficient in Python and/or C/C++.
• 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.
• Must have legal authorization to work in the US on a fulltime basis.

Nice To Haves

• Knowledge of the oil and gas industry is helpful.

Responsibilities

• Apply advanced continuous and combinatorial optimization, 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees