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Machine Learning Power System Jobs (NOW HIRING)

CloudDevs

Machine Learning Intern

Manhattan, NY · Remote

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information ... intelligent systems and improving decision‐making processes. Join us to gain hands‐on ...

Avride

Machine Learning Engineer

Austin, TX

These models power both onboard and offboard applications, ensuring robust and efficient operation ... systems. You will utilize cloud platforms, orchestration tools, and machine learning frameworks to ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team ... In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power ...

Ai Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team ... In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power fraud detection and risk-related products. You'll work closely with data scientists and engineers to ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team ... In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

We are seeking a highly skilled Machine Learning Engineer to join our core AI team ... In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power ...

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

Build, maintain, and improve production machine learning systems that support search ... LLM-powered enhancements. * Develop and integrate machine learning models that improve ...

IMC Inc

Machine Learning Engineer

Dorchester, MA · On-site

$175K - $250K/yr

Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems ... Salary Range $175,000 - $250,000 USD About Us IMC is a global trading firm powered by a cutting ...

IMC Inc

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems ... Salary Range $175,000 - $250,000 USD About Us IMC is a global trading firm powered by a cutting ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

... power of technology and automation to identify, model and trade global financial markets. This ... They will be responsible for their production grade signal generation and ML systems. They can act ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the ... Salary Range $175,000-$250,000 USD About Us IMC is a global trading firm powered by a cutting-edge ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

... systems to automate Design for Manufacturing analysis, utilizing deep learning models and ... Hadrian builds AI-powered automated factories that manufacture precision parts for defense ...

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Machine Learning Power System information

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$15

$27

$42

How much do machine learning power system jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for machine learning power system in the United States is $27.49, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $31.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Power System Engineer, and why are they important?

To excel as a Machine Learning Power System Engineer, you need a solid background in electrical engineering, power systems, and applied machine learning, often supported by a relevant degree such as electrical engineering or computer science. Familiarity with programming languages like Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and power system simulation tools (e.g., PSS/E, PSCAD) is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate technical findings clearly are crucial soft skills in this role. These competencies enable effective development and implementation of intelligent solutions for optimizing and securing modern power grids.

How does a Machine Learning Power System engineer typically collaborate with other departments within an energy company?

Machine Learning Power System engineers frequently work closely with electrical engineers, data scientists, and IT teams to develop and implement predictive models for grid management and optimization. They coordinate with operations teams to understand data requirements and with software developers to deploy robust solutions. Effective collaboration ensures that machine learning models are both technically sound and practically applicable, leading to improved reliability and efficiency of power systems. This cross-functional teamwork is essential for integrating advanced analytics into traditional energy infrastructure.

What are machine learning power system engineers?

Machine learning power system engineers are professionals who apply machine learning techniques to improve the efficiency, reliability, and automation of electrical power systems. They develop algorithms to predict power demand, detect faults, optimize grid performance, and integrate renewable energy sources. These engineers often work with large datasets from smart grids, sensors, and meters to create predictive models that support decision-making for utilities and grid operators. Their work helps modernize power infrastructure and supports the transition to smarter, more sustainable energy systems.

What is the difference between Machine Learning Power System vs Power System Engineer?

AspectMachine Learning Power SystemPower System Engineer
Required CredentialsDegree in Electrical Engineering, Data Science, or related fields; knowledge of machine learning and power systemsDegree in Electrical Engineering or Power Engineering; focus on power systems analysis and design
Work EnvironmentResearch labs, utility companies, or tech firms applying AI to power gridsUtilities, consulting firms, or manufacturing plants managing power distribution
Industry UsageDeveloping AI models for grid optimization, fault detection, and predictive maintenanceDesigning, maintaining, and operating power systems and infrastructure

While both roles involve electrical power systems, Machine Learning Power System specialists focus on applying AI and machine learning techniques to optimize and analyze power grids. Power System Engineers primarily design and maintain traditional power infrastructure. The roles often overlap in utility companies but differ in technical focus and skill sets.

Machine Learning Intern

Machine Learning Intern

CloudDevs

Manhattan, NY • Remote

Internship

This job post has expired today. Applications are no longer accepted.

Job description

We are looking for a talented Machine Learning Intern to join Optimspace, a leading Information Technology company. As a Machine Learning Intern, you will have the opportunity to work on cutting‐edge projects that leverage machine learning algorithms and techniques. This role is crucial in helping Optimspace develop innovative solutions and enhance its products using data‐driven insights and predictive modeling.

As a Machine Learning Intern at Optimspace, you will be involved in projects that focus on data analysis, pattern recognition, and algorithm development. This role plays a key part in driving the company's success by contributing to the creation of intelligent systems and improving decision‐making processes. Join us to gain hands‐on experience in the exciting field of machine learning while working in a dynamic and collaborative remote environment.

Responsibilities Assist in collecting, cleaning, and preprocessing data for machine learning models. Support the development and implementation of machine learning algorithms. Conduct experiments to evaluate the performance of machine learning models.

Collaborate with team members to analyze data and generate insights. Contribute to the optimization and tuning of machine learning models. Assist in deploying machine learning models into production environments.

Stay updated on the latest trends and advancements in machine learning. Document processes, results, and findings for future reference. Requirements Pursuing a degree in Computer Science, Data Science, or related field.

Strong understanding of machine learning concepts and algorithms. Proficiency in programming languages such as Python, R, or Java. Knowledge of data manipulation and visualization tools like Pandas, NumPy, and Matplotlib.

Ability to work independently and in a team environment. Excellent problem‐solving and analytical skills. Good communication and interpersonal abilities.

Attention to detail and a passion for learning and growth. About the company Join our team at Optimspace and embark on a journey of growth and innovation. #J-18808-Ljbffr

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