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Internship Edge Ai Machine Learning Jobs (NOW HIRING)

As an AI/Machine Learning Engineer Intern , you will be tasked with applying software engineering ... Throughout the internship, you will collaborate with research teams and senior engineers to ...

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

They are seeking a Sr Engineer in AI/Machine Learning to develop advanced algorithms and models for ... cutting edge of technology through the generation of patentable ideas • Work with cross ...

Contract (6-12+ months) Indicative rate: $85-$115/hr Role Summary We are seeking an AI / machine learning engineer to develop and deploy ML and GenAI capabilities into production applications. Work ...

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Internship Edge Ai Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship edge ai machine learning jobs pay per year?

As of Jun 6, 2026, the average yearly pay for internship edge ai machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are Internship Edge AI Machine Learning positions?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What are the key skills and qualifications needed to thrive as an Internship Edge AI Machine Learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What types of projects can I expect to work on during an Internship in Edge AI and Machine Learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.
More about Internship Edge Ai Machine Learning jobs
What cities are hiring for Internship Edge Ai Machine Learning jobs? Cities with the most Internship Edge Ai Machine Learning job openings:
What are the most commonly searched types of Edge Ai Machine Learning jobs? The most popular types of Edge Ai Machine Learning jobs are:
What states have the most Internship Edge Ai Machine Learning jobs? States with the most job openings for Internship Edge Ai Machine Learning jobs include:
Infographic showing various Internship Edge Ai Machine Learning job openings in the United States as of May 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Director, AI & Machine Learning

Director, AI & Machine Learning

FFF Enterprises, Inc.

Flower Mound, TX • On-site

$220K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Why We Are - Who We Are: About FFF Enterprises
What We Do - https://www.fffenterprises.com/company/what-we-do.html
Position Summary
The Director of AI/ML leads the strategy, architecture, and delivery of enterprise artificial intelligence and robotic process automation (RPA) capabilities across the organization's data platform. This role is responsible for building and leading a team of AI engineers and automation developers delivering machine learning, generative AI, multi-agent systems, and intelligent automation solutions. The Director partners closely with Data Engineering, Reporting, and business teams to operationalize AI and automation capabilities using Databricks and Microsoft technologies. This role ensures solutions are scalable, secure, and governed while delivering measurable operational efficiency and business value.
Essential Functions and Duties
AI Strategy & Architecture Leadership
Lead the development and execution of enterprise AI and intelligent automation strategy.
Activities include:
  • Define and implement the enterprise AI architecture using Databricks AI capabilities.
  • Establish architectural standards for generative AI, machine learning models, and agent-based systems.
  • Design frameworks for multi-agent AI systems that support business workflows and decision-making.
  • Identify high-impact AI and automation opportunities across business units.
  • Align AI initiatives with the enterprise data platform and overall technology strategy.

AI Engineering & Automation Leadership
Build and lead a high-performing team responsible for delivering AI and intelligent automation solutions.
Activities include:
  • Lead, mentor, and develop a team of AI engineers, machine learning engineers, and automation developers.
  • Establish engineering standards and best practices for AI development and automation implementation.
  • Oversee the design, development, testing, and deployment of AI and automation solutions.
  • Coordinate work across AI engineering, data engineering, reporting teams, and business stakeholders.

Agentic AI & Generative AI Platforms
Lead the design and implementation of modern AI architectures including generative AI and agentic systems.
Activities include:
  • Implement multi-agent AI architectures for automation and operational decision support.
  • Deploy AI solutions leveraging Databricks capabilities including MLflow, vector search, and model serving.
  • Implement Retrieval Augmented Generation (RAG) architectures using governed enterprise data.
  • Lead adoption of conversational AI platforms including Databricks Genie and Microsoft Copilot integrations.

Intelligent Automation & RPA Leadership
Lead the robotic process automation (RPA) function within the department and drive enterprise automation initiatives.
Activities include:
  • Define the enterprise strategy for robotic process automation using Microsoft Power Automate.
  • Identify business processes suitable for automation and prioritize initiatives based on operational impact.
  • Oversee the design and development of automation workflows and automated business processes.
  • Integrate AI models and agent-based systems into automation workflows to enable intelligent decision-making.
  • Establish governance, monitoring, and reliability standards for automation solutions.
  • Collaborate with business units to streamline processes and reduce manual effort through automation.

AI Governance & Responsible AI
Ensure AI and automation solutions comply with enterprise governance, security, and compliance requirements.
Activities include:
  • Establish policies and standards for responsible AI and intelligent automation.
  • Ensure compliance with enterprise security, privacy, and data governance policies.
  • Implement evaluation frameworks to measure AI performance, accuracy, and reliability.
  • Maintain transparency and auditability of automated and AI-driven decisions.

Cross-Functional Collaboration
Partner with technology and business leaders to operationalize AI and automation capabilities.
Activities include:
  • Collaborate with Data Engineering teams to leverage curated enterprise data for AI solutions.
  • Partner with Reporting and Analytics teams to embed AI outputs into business insights and decision tools.
  • Work with business stakeholders to translate operational challenges into AI-enabled and automated solutions.
  • Communicate AI and automation capabilities, risks, and value to both technical and non-technical audiences.

Organizational & Professional Responsibilities
  • Adheres specifically to all company policies and procedures, Federal and State regulations, and laws.
  • Displays dedication to position responsibilities and achieves assigned goals and objectives.
  • Represents the Company in a professional manner and appearance.
  • Works effectively with co-workers, internal and external customers by sharing ideas constructively and addressing issues collaboratively.
  • Keeps stakeholders informed of work progress, timelines, and issues.
  • Complies with the policies and procedures stated in the Injury and Illness Prevention Program.
  • Ensures conduct is consistent with all Compliance Program Policies when engaging in company activities.
  • Performs other duties as assigned.

Education, Knowledge, Skills, and Experience
Required Education:
Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or four (4) years relevant experience in lieu of degree.
Required Knowledge:
  • Advanced knowledge of artificial intelligence, machine learning, and generative AI technologies.
  • Knowledge of agent-based AI architectures and multi-agent systems.
  • Knowledge of robotic process automation (RPA) concepts and intelligent automation strategies.
  • Understanding of enterprise AI governance, security, and model lifecycle management.

Preferred Knowledge:
  • Familiarity with Microsoft Copilot platforms and conversational AI technologies.
  • Familiarity with Databricks AI platform capabilities including MLflow and vector search.
  • Knowledge of vector databases, embeddings, and semantic AI architectures.

Required Experience:
  • At least 10 years of experience in artificial intelligence, machine learning, automation, or related technical roles, including 5 years of leadership experience managing technical teams

Preferred Experience:
  • At least 12-15 years of progressive experience in AI engineering, machine learning engineering, intelligent automation, or enterprise data platform development.
  • Experience leading AI and automation initiatives using modern platforms such as Databricks, Microsoft Copilot, and Microsoft Power Automate is strongly preferred.

Required Skills:
  • Strong leadership and team management capabilities.
  • Expertise designing enterprise AI architectures and machine learning platforms.
  • Experience implementing generative AI and agent-based systems.
  • Experience with Databricks AI capabilities including MLflow and model serving.
  • Experience integrating AI capabilities with Microsoft Copilot platforms.
  • Strong strategic thinking and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to translate business challenges into AI and automation solutions.

Preferred Skills:
  • Experience implementing robotic process automation using Microsoft Power Automate.
  • Experience with conversational AI platforms such as Databricks Genie.
  • Experience implementing multi-agent orchestration frameworks.
  • Experience integrating AI and automation systems with enterprise applications such as ERP, CRM, or logistics platforms.
  • Experience with AI-based video or image processing technologies.

Physical requirements
Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers. Must have the ability to view a computer screen for prolonged periods and the ability to sit for extended periods. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The employee occasionally lifts to 20 lbs. and occasionally kneels and bends. Must have the ability to travel occasionally. Working condition include normal office setting.
Mental Demands
Learning, thinking, concentration and the ability to work under pressure, particularly during busy times. Must be able to pay close attention to detail and be able to work as a member of a team to ensure excellent customer service. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations' situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Must be proactive in finding solutions.
Direct Reports
Yes or No
EEO/AAP Statement
FFF Enterprises and Nufactor are an equal opportunity employer and prohibits discrimination and harassment based on the following characteristics: race, color, religion, national origin, physical or mental disability, gender, age (40 years and over) qualified veteran and any other characteristic protected by state or federal anti-discrimination law covering employment. These categories are defined according to Government Code section 12920. The Company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.
Acknowledgement
The above statements are intended to describe the general nature and level of work being performed by the incumbent assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and/or skills required of all personnel so classified.
The undersigned employee acknowledges receipt of the Job Description for the employee's position and understands the essential functions, responsibilities, and qualifications of the position. Furthermore, the employee acknowledges that this Job Description does not include all the essential functions of this position, and that these essential functions may change as deemed necessary by the manager.
To be considered for a position with FFF Enterprises, Inc, applicants must complete and sign the application.
Employee Benefits Available for FFF Enterprises Team Members
Employee benefits include:
  • Medical Insurance
  • Dental Insurance
  • Vision Discount Program
  • Vision Insurance Plan
  • Health Savings Account (HSA)
  • Flexible Spending Account (FSA)
  • Dependent Care Flexible Spending Account
  • Employee Assistance Program (EAP)
  • Group Life and AD&D
  • Voluntary Supplemental Life Insurance Plans
  • Short Term Disability
  • Long Term Disability Income Protection
  • 401k Profit Sharing Retirement Plan - Discretionary Match
  • Discretionary Bonus
  • Supplemental Insurance Plans
  • Prepaid Legal/Identity Theft Plan
  • Paid Holidays/Vacation/Sick Days
    • Seven (7) Paid Holidays, Two (2) Week Vacation, Five (5) Sick Days, and One (1) Float Day for CA, NC, and TX
      All Other States Receive One Hundred Twenty (120) Hours of PTO
  • Tuition Reimbursement Program
  • Notary Services
  • Employee Referral Bonus
  • Vendor Discount Programs
  • Corporate Individual Travel Program

(Note: We comply with the ADA and consider reasonable accommodation measures that may be necessary for eligible applicants/employees to perform essential functions. Hire may be subject to passing a medical examination, and to skill and agility tests.)