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Embedded Machine Learning Internship Jobs in Riverview, FL

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AI Architect

Tampa, FL · On-site

... deeply embedded into business workflows. You will partner closely with Engineering, Product ... Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ...

TQL

AI Architect

Tampa, FL · On-site

$59.50 - $78.50/hr

... deeply embedded into business workflows.You will partner closely with Engineering, Product ... Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric ...

UAB

SCIENTIST III

Tampa, FL

... interns toward achieving lab and project goals. * Funding Opportunities: Identifying and ... AI/ML Expertise: Deep proficiency with modern machine learning, including deep learning ...

Hensel Phelps Construction

Field Engineer

Tampa, FL · On-site

Past internships in the construction industry are preferred, but not required. Essential Duties ... Check concrete forms for accuracy and adequacy of construction, including all embedded items ...

DTCC

Business Analyst [2027 EDGE Program]

Tampa, FL · On-site

Participate in a comprehensive learning and development curriculum * Receive guidance from a ... Embedded Risk * Data Office * Repository & Derivatives Services What You'll Do * Collaborate with ...

DTCC

Business Analyst [2027 EDGE Program]

Tampa, FL · On-site

Participate in a comprehensive learning and development curriculum * Receive guidance from a ... Embedded Risk * Data Office * Repository & Derivatives Services What You'll Do * Collaborate with ...

Gallagher

Producer- Flood

Tampa, FL

... keep learning along the way. Overview Join Gallagher's Risk Placement Services (RPS) team as a ... Sales Internship Program (GSIP), and appropriate insurance licensing required OR High School ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Riverview, FL

Embedded Machine Learning Internship information

See Riverview, FL salary details

$22.7K

$38K

$78.5K

How much do embedded machine learning internship jobs pay per year?

As of Jul 16, 2026, the average yearly pay for embedded machine learning internship in Riverview, FL is $37,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,000.00 and $41,000.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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Embedded Machine Learning Internship jobs near you
Director, Risk and Compliance

Director, Risk and Compliance

Mad Mobile Inc

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Job description

Mad Mobile is an AI-driven software development company headquartered in Tampa, FL, revolutionizing the restaurant and enterprise retail industries. Our innovative solutions empower businesses to enhance customer experience, streamline operations, and drive growth through cutting-edge technology. From mobile ordering and payments to advanced point-of-sale systems, our AI-driven approach helps industry leaders stay ahead in an ever-evolving digital world. As a fast[1]growing organization, we foster a collaborative, dynamic, and inclusive culture dedicated to delivering exceptional value to our clients and employees. Join us in shaping the future of retail and hospitality through intelligent, technology-driven innovation.

LOCATION: Must be based in or willing to relocate to Tampa, FL. This is an in-office role.

NOTE: Candidates must be legally authorized to work in the United States (U.S. Citizens, Green Card holders, or valid EAD holders). Sponsorship is not available for this role.

About the Role:

We are seeking a strategic, hands-on Director, of Risk & Compliance to build and scale a best-in-class risk and compliance program across our payments, POS, and SaaS platforms.

This role will lead companies risk management, regulatory compliance, and product compliance initiatives—ensuring we meet evolving requirements while enabling innovation and growth. This role is deeply embedded in the product lifecycle, ensuring “compliance by design” across fintech offerings.

You will partner cross-functionally with Product, Engineering, Finance, Legal, and Operations to manage regulatory risk, support new product launches, and strengthen our control environment.

Key Responsibilities:

1. Enterprise Risk & Compliance Leadership

  • Build and lead Mad Mobile’s enterprise risk management (ERM) and compliance programs
  • Establish governance frameworks, policies, and internal controls across payments, POS, and SaaS offerings
  • Develop risk appetite, KRIs/KPIs, and reporting for executive leadership and board-level visibility

2. Payments & Fintech Compliance

  • Own compliance for payment processing, merchant acquiring, and fintech products

Ensure adherence to:

  • PCI DSS and cardholder data security standards (critical in POS/payment ecosystems)
  • Money transmitter and payments regulations (state, federal, and global where applicable)
  • Card network rules (Visa, Mastercard, etc.)
  • Partner with Product to embed compliance into new product development and enhancements

3. Risk Management & Fraud Prevention

  • Oversee fraud, chargeback, and transaction risk strategies
  • Implement risk monitoring frameworks for merchants, partners, and transactions
  • Collaborate with Data/Engineering to leverage analytics and machine learning for risk detection
  • Align with industry practices such as tokenization, encryption, and layered payment security used by companies like Shift4

4. Regulatory & Audit Oversight

  • Lead internal and external audits (PCI, SOC x`)
  • Manage relationships with regulators, auditors, and banking/payment partners
  • Maintain licensing and regulatory filings (e.g., money transmission where applicable)

5. Compliance Program Development

  • Design and scale a compliance management system (CMS) aligned with fintech best practices
  • Develop testing, monitoring, and issue remediation processes
  • Ensure ongoing regulatory change management and impact assessment

6. Cross-Functional Partnership

  • Serve as a trusted advisor to Product, Engineering, and GTM teams
  • Participate in product reviews to ensure regulatory requirements are met pre-launch
  • Act as a compliance representative on risk committees and governance forums

7. Team Leadership

  • Build and manage a high-performing risk and compliance team
  • Foster a culture of accountability, transparency, and continuous improvement

Required Skills & Expectations:

  • 8–12+ years in risk, compliance, or fintech regulatory roles
  • Experience in payments, POS, merchant acquiring, or fintech platforms

Deep knowledge of:

  • PCI DSS and cardholder data environments
  • Payments ecosystem (acquirers, processors, ISOs)
  • Regulatory frameworks (BSA/AML, money transmission, NACHA, card network rules)
  • Proven experience building or scaling compliance programs in a high-growth SaaS or fintech environment
  • Strong leadership and stakeholder management experience

Preferred:

  • Experience in restaurant or retail technology ecosystems (similar to SpotOn/Toast focus)
  • Familiarity with integrated POS + payments platforms
  • Certifications such as CRCM, CAMS, CISA, or PCI ISA/QSA exposure
  • Experience supporting product-led organizations with embedded compliance

What Success Looks Like:

  • A scalable, audit-ready compliance program supporting rapid growth
  • Reduced fraud loss and improved risk visibility across transactions
  • Seamless product launches with compliance built into design—not retrofitted
  • Strong relationships with regulators, partners, and enterprise customers
  • Our core values:

Customer – WE believe that our customers deserve the best from us every day. Accountability – WE take ownership and make things happen.

Teamwork – WE win as a team and have fun doing it.

Innovation – WE innovate, inspire, ignite the future! 

Integrity – WE are honest, ethical, and trustworthy. 

Mad Mobile Benefits: We offer a highly competitive benefits package designed to support our employees’ health, financial well-being, and future growth.

• Health Coverage: 90% company-paid premiums for medical, dental, and vision under our HDHP plan, or a robust buy-up plan with 60% company coverage.

• Retirement Savings: 401(k) with a matching contribution of up to 4%, fully vested from day one.

• Total Well-Being: Additional benefits and resources to help you and your family thrive at work and at home. At Mad Mobile, we are not only building the future of in-store experiences, but we are also investing in building exceptional teams.


EEOC Statement 

Mad Mobile is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.

* Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Mad Mobile does not accept unsolicited headhunter and agency resumes. Mad Mobile will not pay fees to any third-party agency or company that does not have a signed agreement with Mad Mobile

Why Mad Mobile?

Mad Mobile is the #38 fastest-growing company in Florida and #9 on the Tampa Bay Times Top 100 Workplace List. We’re proud of our culture and promote diversity and a healthy work-life balance.

What about the benefits you ask?

At Mad Mobile, we're committed to taking care of our employees right from the start. That's why there's no waiting period for our plans – they kick in from day one. We're proud to offer market-leading benefits for medical, dental, and vision and cover a generous amount of your premiums. To make sure you're off to a great start, we even provide you with a $1000 HSA contribution (prorated based on your start date and split into two payments).

Additionally, we provide a 401(k) plan with a matching contribution of up to 4%, and the best part is you're fully vested from day one. At Mad Mobile, we're not only building the next generation of in-store experiences; we're also building the next generation of incredible teams.

EEOC Statement 

Mad Mobile is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Mad Mobile does not accept unsolicited headhunter and agency resumes. Mad Mobile will not pay fees to any third-party agency or company that does not have a signed agreement with Mad Mobile.