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Ai Optimization Jobs (NOW HIRING)

Oxy

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 ...

RELX Group plc

AI Optimization Lead

Springboro, OH · On-site

$95K - $158K/yr

Experience utilizing AI/automation in content optimization * Proven ability to work independently, collaboratively, and lead global cross-functional projects consisting of both employees and offshore ...

LexisNexis

AI Optimization Lead

Springboro, OH · On-site

$95K - $158K/yr

Experience utilizing AI/automation in content optimization * Proven ability to work independently, collaboratively, and lead global cross-functional projects consisting of both employees and offshore ...

LexisNexis

AI Optimization Lead

Dayton, OH · On-site +1

$95K - $158K/yr

Experience utilizing AI/automation in content optimization * Proven ability to work independently, collaboratively, and lead global cross-functional projects consisting of both employees and offshore ...

RELX

AI Optimization Lead

Dayton, OH · On-site +1

$95K - $158K/yr

Experience utilizing AI/automation in content optimization * Proven ability to work independently, collaboratively, and lead global cross-functional projects consisting of both employees and offshore ...

Oxy

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 ...

Vanta

AI Optimization Specialist, Support

$129K - $152K/yr

As a AI Optimization Specialist, Support, you will empower both our customers and Support team by building and maintaining the AI-powered knowledge that fuels our customer-facing chatbot and internal ...

Oxy

AI Optimization Engineer

Houston, TX

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 ...

Penn Interactive

CX Manager, AI Optimization

About the Role & Team We're looking for an CX Manager, AI Optimization to lead the evolution of our customer support experience through AI, automation, knowledge management, and platform optimization.

Generac

Senior SEO Specialist

Waukesha, WI

The SEO Specialist will support the execution of Generac's organic search and AI Optimization (AIO) strategies across a portfolio of digital properties. This role is hands-on and focused on ...

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Ai Optimization information

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How much do ai optimization jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for ai optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, accuracy, and efficiency of artificial intelligence models. AI optimization specialists often work with machine learning techniques, tuning parameters, and using tools like TensorFlow or PyTorch to enhance model outcomes and operational effectiveness.

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 beyond AI's current capabilities. These jobs require advanced skills, critical thinking, and adaptability that are difficult for AI to fully replicate. Continuous learning and certification in relevant tools enhance job security in these fields.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData 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 cutting-edge development.

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?

High-paying AI jobs include roles such as AI Research Scientist, Machine Learning Engineer, and Data Scientist, often requiring advanced degrees and expertise in programming, statistics, and deep learning frameworks. These positions typically offer salaries above industry average due to their specialized skills and demand in sectors like technology, finance, and healthcare.
More about Ai Optimization jobs
What cities are hiring for Ai Optimization jobs? Cities with the most Ai Optimization job openings:
What states have the most Ai Optimization jobs? States with the most job openings for Ai Optimization jobs include:
What job categories do people searching Ai Optimization jobs look for? The top searched job categories for Ai Optimization jobs are:
Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $124,067 per year, or $59.6 per hour.
AI Optimization Engineer

AI Optimization Engineer

Oxy

Houston, TX • On-site

Full-time

Posted 20 days ago

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 logo

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

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