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Machine Learning Power System Jobs (NOW HIRING)

SAIC

Machine Learning Developer

Arlington, VA · On-site

Work with software developers to integrate machine learning models into production systems ... SAIC ® is a premier mission integrator focused on advancing the power of technology and innovation ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

... systems (e.g., Linux, Android, QNX) and Hardware. Company : Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the ...

Button

Senior Machine Learning Engineer

Manhattan, NY · On-site

$153K - $198K/yr

Senior Machine Learning Engineer Button's mission is to empower the companies shaping the creator ... Contribute to the design of decisioning systems that power ranking, recommendations, and commerce ...

Quizlet

Machine Learning Engineer

Seattle, WA · On-site

$205K - $316K/yr

Our Machine Learning team builds the predictive and decisioning systems that power personalization, monetization, and learner engagement at Quizlet. We focus on developing models and systems that ...

Quizlet

Machine Learning Engineer

San Francisco, CA · On-site

$205K - $316K/yr

Our Machine Learning team builds the predictive and decisioning systems that power personalization, monetization, and learner engagement at Quizlet. We focus on developing models and systems that ...

Button, Inc.

Senior Machine Learning Engineer

$153K - $198K/yr

As a Senior Machine Learning Engineer, you will own the end to end ML lifecycle at Button, from the ... Contribute to the design of decisioning systems that power ranking, recommendations, and commerce ...

Quizlet

Machine Learning Engineer

Denver, CO · On-site

$205K - $316K/yr

Our Machine Learning team builds the predictive and decisioning systems that power personalization, monetization, and learner engagement at Quizlet. We focus on developing models and systems that ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Build and deploy the ML pipelines that power PatternAI's machine learning platform. * Manage MLOps ... Experience implementing, deploying, and maintaining production machine learning systems.

Quizlet

Machine Learning Engineer

Denver, CO · On-site

$205K - $316K/yr

Our Machine Learning team builds the predictive and decisioning systems that power personalization, monetization, and learner engagement at Quizlet. We focus on developing models and systems that ...

Coin Flow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... You'll explore large-scale transaction and behavioral data, build models and analytical systems ...

Coinflow

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ... You'll explore large-scale transaction and behavioral data, build models and analytical systems ...

EarnIn

Machine Learning Intern

Mountain View, CA · Hybrid

$40/hr

To guarantee the success of machine learning systems, we need to provide a detailed formulation, extensive experimentation, and to transform ML models into high-performance production-level code ...

Avride

Machine Learning Engineer

Austin, TX · On-site

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 ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

... that power ML and Generative AI features, while collaborating with cross-functional teams to ... systems and orchestration frameworks that enable intelligent, multi-step reasoning and task ...

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All JobsMachine Learning Power System Jobs

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 Developer

Machine Learning Developer

SAIC

Arlington, VA • On-site

Full-time

Posted 28 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

69th of 203 rated it services

Job description

Job Description
Description
SAIC is seeking a talented and experienced Machine Learning Developer to join our dynamic team.
This position is hybrid in Arlington, VA with 2-3 days per week onsite at the Pentagon or the Mark Center.
The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI solutions, improve predictive models, and deploy machine learning systems into production.
Key Responsibilities:
  • Develop and implement machine learning models and algorithms to provide suggested values to readiness reports for our DOD client.
  • Refine data collection processes and improve data quality.
  • Design and develop scalable machine learning solutions for various applications.
  • Work with software developers to integrate machine learning models into production systems.
  • Conduct research to identify new approaches and methods for machine learning and AI.
  • Stay updated with the latest trends and advancements in machine learning and AI.
  • Document processes, codes, and workflows for future reference and reproducibility.
  • Provide support and maintenance for deployed machine learning systems.

Qualifications
Required Education:
  • Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD and zero (0) years related experience; four (4) years of experience considered in lieu of degree.
Qualifications:
  • Proven experience designing, developing, and deploying OpenAI solutions as a Machine Learning Developer or in a similar role.
  • Strong programming skills in Python, R, C#, Java or similar languages.
  • Experience with deep learning techniques and models.
  • Expertise in natural language processing (NLP) or computer vision.
  • Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.
  • Experience with data preprocessing, data mining, and data visualization techniques.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Familiarity with software development best practices and source control (e.g., Git).
Clearance:
  • Active Secret clearance is required for this position.

Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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