The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team of engineers and ...
The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team of engineers and ...
AI/ML Engineer
Exton, PA · On-site
Machine Learning & AI Model Development * AWS / Azure / Google Cloud Platform * Data Pipelines & MLOps * NLP / Generative AI experience is a plus Qualifications: * Bachelor s/Master s degree in ...
AI/ML Engineer
Exton, PA · On-site
Machine Learning & AI Model Development * AWS / Azure / Google Cloud Platform * Data Pipelines & MLOps * NLP / Generative AI experience is a plus Qualifications: * Bachelor s/Master s degree in ...
ML Ops Engineer, Machine Learning & AI
New York, NY · On-site
$110K - $130K/yr
The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data ...
ML Ops Engineer, Machine Learning & AI
New York, NY · On-site
$110K - $130K/yr
The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data ...
$28 - $45/hr
H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for ...
$28 - $45/hr
H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position Overview We are seeking a highly motivated Machine Learning Engineer Intern to join our AI/ML team. This role is ideal for ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real ...
Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Machine Learning Engineer
OR · Remote
$100K - $200K/yr
About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ...
Quick apply
Machine Learning Engineer
OR · Remote
$100K - $200K/yr
About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ...
The Opportunity We are looking for a Director of Engineering to guide the development of AI-native, production-ready machine learning products for external clients. This leader will be responsible ...
The Opportunity We are looking for a Director of Engineering to guide the development of AI-native, production-ready machine learning products for external clients. This leader will be responsible ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
The Opportunity We are looking for a Director of Engineering to guide the development of AI-native, production-ready machine learning products for external clients. This leader will be responsible ...
The Opportunity We are looking for a Director of Engineering to guide the development of AI-native, production-ready machine learning products for external clients. This leader will be responsible ...
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 3
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 3
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
Artificial Intelligence/Machine Learning (AI/ML) Engineer 1
Laurel, MD · On-site
$176K - $282K/yr
Responsibilities Designs, develops, tests, and deploys AI/ML algorithms to address complex business challenges and mission requirements. Develops models capable of learning from data, generating ...
AI Engineer - Machine Learning 3
Redmond, WA · On-site +1
$80 - $90/hr
Collaborate with research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems. * Design and execute ...
AI Engineer - Machine Learning 3
Redmond, WA · On-site +1
$80 - $90/hr
Collaborate with research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems. * Design and execute ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Quick apply
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Quick apply
Match Group is seeking a Principal AI Learning & Enablement Partner to accelerate how AI is adopted and applied across the organization. This role operates at the intersection of learning, AI, and ...
Learning Ai information
See salary details
$29.79 is the 25th percentile. Wages below this are outliers.
$26.92 - $30.79
34% of jobs
The median wage is $34.32 / hr.
$30.79 - $34.66
18% of jobs
$34.66 - $38.53
12% of jobs
$38.53 - $42.40
3% of jobs
$42.40 - $46.26
5% of jobs
$46.26 - $50.13
2% of jobs
$50.45 is the 75th percentile. Wages above this are outliers.
$50.13 - $54
16% of jobs
$54 - $57.87
9% of jobs
$57.87 - $61.74
0% of jobs
$61.74 - $65.60
0% of jobs
$65.60 - $69.47
1% of jobs
$26
$40
$69
How much do learning ai jobs pay per hour?
As of Jul 2, 2026, the average hourly pay for learning ai in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.
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, machine learning executive, or senior data scientist, 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 is a Learning AI?
A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.
What jobs can I get if I learn AI?
Learning AI can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or AI researcher. These positions typically require skills in programming, data analysis, and familiarity with AI frameworks like TensorFlow or PyTorch, and often involve developing algorithms, models, and applications across various industries.
What is the difference between Learning Ai vs Data Scientist?
| Aspect | Learning Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically a degree in Computer Science, AI, or related fields; certifications in AI/ML | Degree in Computer Science, Statistics, or related fields; certifications in data analysis or ML |
| Work Environment | Tech companies, AI startups, research labs focusing on AI development | Business environments, analyzing data to inform decisions across industries |
| Employer & Industry Usage | Primarily in AI development, research, and product creation | Across finance, healthcare, marketing, and other sectors for data analysis |
Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.
Can I get paid to learn AI?
Learning AI can be financially supported through internships, apprenticeships, or training programs that offer stipends or salaries. Some companies and educational platforms also provide paid opportunities for gaining skills in AI, machine learning, and data science while working on real projects. However, most formal learning paths require self-investment or sponsorship until you acquire marketable skills for paid roles.
How do Learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?
Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.
How can I start a career in AI?
To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects using tools like TensorFlow or PyTorch can help build practical skills and improve employability in the field.
What are the key skills and qualifications needed to thrive as a Learning AI Engineer, and why are they important?
To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.
More about Learning Ai jobs
What cities are hiring for Learning Ai jobs? Cities with the most Learning Ai job openings:
What states have the most Learning Ai jobs? States with the most job openings for Learning Ai jobs include:
What job categories do people searching Learning Ai jobs look for? The top searched job categories for Learning Ai jobs are:
Full-time
Posted 17 days ago
Peraton rating
8.2
Based on 53 frontline employees who took The Breakroom Quiz
47th of 207 rated it services
Job description
Job Summary:
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team of engineers and practitioners while developing strategies and managing stakeholder relationships.
Responsibilities:
• Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission-critical requirements.
• Builds models capable of learning from data and generating predictions aligned with customer-defined business logic and objectives.
• Demonstrates expertise across model architecture, data pipeline integration, and the application, interpretation, and communication of performance metrics.
• Maintains strong foundational knowledge of application development, infrastructure management, data engineering, and data governance to support scalable enterprise solutions.
• Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving models based on iterative user and system feedback to ensure optimal performance.
• Leads geographically distributed teams and frequently serves as the primary technical point of contact for related matters, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills.
• Serve as primary technical point of contact for all AI/ML-related matters with customers and stakeholders.
• Lead the design, development, testing, and productization of AI/ML capabilities for mission-critical challenges.
• Define and execute AI/ML strategy and roadmaps aligned with mission objectives and customer requirements.
• Advise on emerging research areas and technical advancements to support both near-term and long-term goals.
• Build, lead, and scale a diverse technical team, including hiring, mentoring, and professional development.
• Contribute to workforce planning, labor category definition (LCAT), and staffing strategy as programs mature.
• Represent capabilities in customer-facing briefings, engagements, and technical reviews.
• Provide end-to-end system integration oversight across pipelines and enterprise systems.
• Transform prototypes into scalable, production-ready enterprise solutions.
• Design, evaluate, and operationalize models across commercial cloud-based architectures.
Qualifications:
Required:
• Minimum of 10 years of experience deploying machine learning algorithms.
• Master's or Ph.D. in advanced mathematics, artificial intelligence, data science, computer science, or deep learning from an accredited college or university.
• A Bachelor's degree plus 7 additional years of relevant experience may substitute for a Master's degree
• Demonstrated expertise in software engineering and model testing and evaluation
• An active TS/SCI with Poly is required.
Preferred:
• Familiarity with Large Language Models (LLMs)
• Experience with Retrieval-Augmented Generation (RAG) frameworks
• Knowledge of AI agents and agentic workflows
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives, responsible for building, scaling, and guiding a team of engineers and practitioners while developing strategies and managing stakeholder relationships.
Responsibilities:
• Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission-critical requirements.
• Builds models capable of learning from data and generating predictions aligned with customer-defined business logic and objectives.
• Demonstrates expertise across model architecture, data pipeline integration, and the application, interpretation, and communication of performance metrics.
• Maintains strong foundational knowledge of application development, infrastructure management, data engineering, and data governance to support scalable enterprise solutions.
• Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving models based on iterative user and system feedback to ensure optimal performance.
• Leads geographically distributed teams and frequently serves as the primary technical point of contact for related matters, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills.
• Serve as primary technical point of contact for all AI/ML-related matters with customers and stakeholders.
• Lead the design, development, testing, and productization of AI/ML capabilities for mission-critical challenges.
• Define and execute AI/ML strategy and roadmaps aligned with mission objectives and customer requirements.
• Advise on emerging research areas and technical advancements to support both near-term and long-term goals.
• Build, lead, and scale a diverse technical team, including hiring, mentoring, and professional development.
• Contribute to workforce planning, labor category definition (LCAT), and staffing strategy as programs mature.
• Represent capabilities in customer-facing briefings, engagements, and technical reviews.
• Provide end-to-end system integration oversight across pipelines and enterprise systems.
• Transform prototypes into scalable, production-ready enterprise solutions.
• Design, evaluate, and operationalize models across commercial cloud-based architectures.
Qualifications:
Required:
• Minimum of 10 years of experience deploying machine learning algorithms.
• Master's or Ph.D. in advanced mathematics, artificial intelligence, data science, computer science, or deep learning from an accredited college or university.
• A Bachelor's degree plus 7 additional years of relevant experience may substitute for a Master's degree
• Demonstrated expertise in software engineering and model testing and evaluation
• An active TS/SCI with Poly is required.
Preferred:
• Familiarity with Large Language Models (LLMs)
• Experience with Retrieval-Augmented Generation (RAG) frameworks
• Knowledge of AI agents and agentic workflows
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.
About Peraton
Sourced by ZipRecruiter
At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Herndon, VA, US
Year founded
2017