AI Optimization Engineer
Houston, TX · On-site
Responsibilities : • Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on ...
AI Optimization Engineer
Houston, TX · On-site
Responsibilities : • Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on ...
AI Optimization Engineer
Houston, TX · On-site
Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.
AI Optimization Engineer
Houston, TX · On-site
Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.
Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.
Apply advanced continuous and combinatorial optimization, control, artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and improve on decision systems/processes.
... and combinatorial optimization * Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. * Previous work experience ...
... and combinatorial optimization * Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. * Previous work experience ...
Applications Engineering, Scientist - 17642
Austin, TX · On-site
$196K/yr
Pioneering human-agent collaboration models that empower designers to set intent and constraints, while agents handle combinatorial optimization with transparency and controllability. * Driving ...
Applications Engineering, Scientist - 17642
Austin, TX · On-site
$196K/yr
Pioneering human-agent collaboration models that empower designers to set intent and constraints, while agents handle combinatorial optimization with transparency and controllability. * Driving ...
... and combinatorial optimization problems to drive business and operational improvements You are passionate about building solutions that will help drive a more efficient operations network and ...
... and combinatorial optimization problems to drive business and operational improvements You are passionate about building solutions that will help drive a more efficient operations network and ...
... combinatorial optimization. * Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. * Experience with various machine ...
... combinatorial optimization. * Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. * Experience with various machine ...
Pioneering human-agent collaboration models that empower designers to set intent and constraints, while agents handle combinatorial optimization with transparency and controllability. * Driving ...
Pioneering human-agent collaboration models that empower designers to set intent and constraints, while agents handle combinatorial optimization with transparency and controllability. * Driving ...
... and combinatorial optimization problems to drive business and operational improvements You are passionate about building solutions that will help drive a more efficient operations network and ...
... and combinatorial optimization problems to drive business and operational improvements You are passionate about building solutions that will help drive a more efficient operations network and ...
... and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and ...
... and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and ...
... combinatorial optimization * Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. * Experience with various machine ...
... combinatorial optimization * Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. * Experience with various machine ...
QA Automation
Dallas, TX · On-site
... optimized test scenarios, develop automation for executing tests, and manage test data and ... Banking Industry Knowledge Playwright mandatory Combinatorial Test Design - IGNITE, Hexawise ...
QA Automation
Dallas, TX · On-site
... optimized test scenarios, develop automation for executing tests, and manage test data and ... Banking Industry Knowledge Playwright mandatory Combinatorial Test Design - IGNITE, Hexawise ...
Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
Austin, TX · On-site
$48K - $66K/yr
... optimization of functional materials. The Postdoctoral Fellow will collaborate with a ... Develop and optimize high-throughput and combinatorial synthesis workflows, including high ...
Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
Austin, TX · On-site
$48K - $66K/yr
... optimization of functional materials. The Postdoctoral Fellow will collaborate with a ... Develop and optimize high-throughput and combinatorial synthesis workflows, including high ...
Combinatorial Optimization information
What are the key skills and qualifications needed to thrive as a Combinatorial Optimization Specialist, and why are they important?
To thrive as a Combinatorial Optimization Specialist, you need a solid background in mathematics, computer science, and operations research, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or Java), optimization libraries, and mathematical modeling tools like CPLEX or Gurobi is typically required. Strong analytical thinking, problem-solving skills, and effective communication help you devise and explain complex solutions to stakeholders. These skills are crucial for developing efficient algorithms and models that address challenging optimization problems in various industries.
How does a Combinatorial Optimization specialist typically collaborate with other departments within an organization?
Combinatorial Optimization specialists frequently work cross-functionally, partnering with data scientists, software engineers, and business analysts to translate complex business problems into mathematical models. They help teams identify optimal solutions for scheduling, routing, resource allocation, and other operational challenges. Effective communication is crucial, as specialists must explain complex algorithms to non-technical stakeholders and integrate their solutions into broader business processes. Collaborative teamwork and iterative problem-solving are common in this role.
What is the difference between Combinatorial Optimization vs Data Analyst?
| Aspect | Combinatorial Optimization | Data Analyst |
|---|---|---|
| Required Credentials | Mathematics, Operations Research, Computer Science degrees | Statistics, Data Science, Business Analytics degrees |
| Work Environment | Research labs, consulting firms, tech companies | Corporate offices, finance, marketing departments |
| Industry Usage | Logistics, manufacturing, AI, supply chain | Finance, marketing, healthcare, retail |
While both roles involve analytical skills, Combinatorial Optimization focuses on solving complex mathematical problems to find optimal solutions, often in logistics and operations. Data Analysts interpret data to inform business decisions, working across various industries. Understanding these differences helps clarify career paths and employer expectations.
What is combinatorial optimization?
Combinatorial optimization is a field in mathematics and computer science focused on finding the best solution from a finite set of possible solutions. It involves problems where you need to arrange, select, or group discrete objects according to certain rules to achieve an optimal outcome. Examples include scheduling, routing, and assignment problems. Techniques such as linear programming, branch and bound, and heuristics are often used to solve these problems. Combinatorial optimization is widely applied in logistics, operations research, computer science, and engineering.
What are popular job titles related to Combinatorial Optimization jobs in Texas? For Combinatorial Optimization jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Combinatorial Optimization jobs in Texas look for? The top searched job categories for Combinatorial Optimization jobs in Texas are:
What cities in Texas are hiring for Combinatorial Optimization jobs? Cities in Texas with the most Combinatorial Optimization job openings:
Job description
Job Summary:
Oxy is a company that produces, markets, and transports oil and natural gas, focusing on lower-carbon technologies. They are seeking an experienced AI Optimization Engineer to apply advanced optimization and AI techniques to improve decision systems within their Applied AI Center of Excellence.
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:
Required:
• 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.
Preferred:
• Knowledge of the oil and gas industry.
• Familiarity with AWS or similar cloud platforms.
• Familiarity with Docker for containerization and Kubernetes for orchestration.
Company:
Oxy is an international energy company that produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. Founded in 1920, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.
Oxy is a company that produces, markets, and transports oil and natural gas, focusing on lower-carbon technologies. They are seeking an experienced AI Optimization Engineer to apply advanced optimization and AI techniques to improve decision systems within their Applied AI Center of Excellence.
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:
Required:
• 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.
Preferred:
• Knowledge of the oil and gas industry.
• Familiarity with AWS or similar cloud platforms.
• Familiarity with Docker for containerization and Kubernetes for orchestration.
Company:
Oxy is an international energy company that produces, markets and transports oil and natural gas to maximize value and provide resources fundamental to life. Founded in 1920, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Oxy
Sourced by ZipRecruiter
For 100 years, Oxy has developed extensive assets, infrastructure, expertise and technology to fuel progress and improve lives around the world. Now we’re leveraging these resources to help solve the planet’s most pressing environmental challenges. We want to be part of the solution, so we're taking bold steps to innovate new technologies for a low-carbon future. Oxy produces energy and essential products to sustain and improve life on our planet. Our experienced teams, located in the United States, Middle East, Africa and Latin America, are committed to safe and efficient operations and products, and to reducing our carbon footprint and helping others do the same.
Industry
Oil and gas extraction
Company size
10,000+ Employees
Headquarters location
Houston, TX, US