AI Optimization Engineer
Houston, TX · On-site
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 ...
AI Optimization Engineer
Houston, TX · On-site
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 ...
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 ...
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 ...
AI Optimization Engineer
Houston, TX · On-site
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. Essential Job ...
AI Optimization Engineer
Houston, TX · On-site
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. Essential Job ...
Own AI search optimization strategy (AEO), ensuring content and campaigns are structured for AI-driven discovery environments. Organic YouTube Channel Management * Own global organic YouTube strategy ...
Own AI search optimization strategy (AEO), ensuring content and campaigns are structured for AI-driven discovery environments. Organic YouTube Channel Management * Own global organic YouTube strategy ...
Own AI search optimization strategy (AEO), ensuring content and campaigns are structured for AI-driven discovery environments. Organic YouTube Channel Management * Own global organic YouTube strategy ...
Own AI search optimization strategy (AEO), ensuring content and campaigns are structured for AI-driven discovery environments. Organic YouTube Channel Management * Own global organic YouTube strategy ...
Own AI search optimization strategy (AEO), ensuring content and campaigns are structured for AI-driven discovery environments. Organic YouTube Channel Management * Own global organic YouTube strategy ...
Own AI search optimization strategy (AEO), ensuring content and campaigns are structured for AI-driven discovery environments. Organic YouTube Channel Management * Own global organic YouTube strategy ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, it sits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, it sits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, it sits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, it sits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, it sits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, it sits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Instead, itsits at the intersection of strategy, business operations, revenue optimization, audience growth, customer experience, and enterprise transformation-connecting AI strategy to the day-to ...
Understanding of prompt engineering and AI optimization Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.
Understanding of prompt engineering and AI optimization Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.
Understanding of prompt engineering and AI optimization Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.
Understanding of prompt engineering and AI optimization Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.
Understanding of prompt engineering and AI optimization Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.
Understanding of prompt engineering and AI optimization Communication Skills: Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams.
Stay updated on SEO trends and integrate innovative approaches, including AI-driven solutions. Required Qualifications: * 5+ years of SEO experience, with at least 2 years in a supervisory role.
Stay updated on SEO trends and integrate innovative approaches, including AI-driven solutions. Required Qualifications: * 5+ years of SEO experience, with at least 2 years in a supervisory role.
Ai Optimization information
See Spring, TX salary details
$38.37 is the 25th percentile. Wages below this are outliers.
$36.15 - $39.48
38% of jobs
The median wage is $42.55 / hr.
$39.48 - $42.80
14% of jobs
$42.80 - $46.13
0% of jobs
$46.13 - $49.45
0% of jobs
$49.45 - $52.78
0% of jobs
$52.78 - $56.10
0% of jobs
$56.10 - $59.43
0% of jobs
$59.43 - $62.76
16% of jobs
$64.53 is the 75th percentile. Wages above this are outliers.
$62.76 - $66.08
16% of jobs
$66.08 - $69.41
10% of jobs
$69.41 - $72.73
7% of jobs
$36
$53
$72
How much do ai optimization jobs pay per hour?
As of Jun 11, 2026, the average hourly pay for ai optimization in Spring, TX is $53.08, according to ZipRecruiter salary data. Most workers in this role earn between $38.51 and $65.48 per hour, depending on experience, location, and employer.
What is AI optimization?
AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.
What are the key skills and qualifications needed to thrive as an AI Optimization Specialist, and why are they important?
To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.
Which 3 jobs will survive AI?
AI optimization professionals, data scientists, and cybersecurity specialists are likely to continue thriving as their roles involve complex problem-solving, strategic decision-making, and safeguarding systems, which are less easily automated. These jobs require advanced analytical skills, domain expertise, and adaptability to evolving technologies, making them more resilient to AI automation.
What is the difference between Ai Optimization vs Data Scientist?
| Aspect | Ai Optimization | Data Scientist |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworks | Degree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis |
| Work Environment | Tech companies, AI-focused teams, R&D departments | Research institutions, tech firms, finance, healthcare |
| Employer & Industry Usage | Primarily in AI development, machine learning optimization projects | Data analysis, predictive modeling, data-driven decision making |
Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized technical expertise.
What are some common challenges faced by professionals in AI Optimization roles, and how can they be overcome?
Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.
Which AI job is high paying?
AI roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist tend to be among the highest paying in the field, especially with advanced skills in deep learning, natural language processing, and experience with tools like TensorFlow or PyTorch. Senior positions or specialized roles in AI development and strategy often offer higher salaries due to their expertise and impact on business outcomes.
What are popular job titles related to Ai Optimization jobs in Spring, TX? For Ai Optimization jobs in Spring, TX, the most frequently searched job titles are:
What cities near Spring, TX are hiring for Ai Optimization jobs? Cities near Spring, TX with the most Ai 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