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Embedded Machine Learning Internship Jobs in Concord, NC

McKesson

AVP Digital Transformation

Concord, NC

While deeply embedded within specific business segments to ensure contextual relevance, this leader ... AI-Driven Process Optimization Leverage AI and machine learning to analyze and streamline business ...

Mckesson

AVP Digital Transformation

Concord, NC

While deeply embedded within specific business segments to ensure contextual relevance, this leader ... AI-Driven Process Optimization Leverage AI and machine learning to analyze and streamline business ...

TQL

AI Architect

Charlotte, NC

$59 - $77.75/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 ...

RCN Capital, LLC.

Director of Data and AI

Charlotte, NC · On-site

$120 - $160/hr

Generative AI, machine learning, and advanced analytics. * Enterprise data and analytics platforms ... AI embedded directly into core operations and decision‑making. * Reduced fragmentation across ...

New

Total Quality Logistics

AI Architect

Charlotte, NC · 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 ...

DP World

Manager, Data Governance

Charlotte, NC · On-site

... AI, machine learning, and advanced analytics capabilities. This role will ensure that data is ... Partner with AI/ML teams to ensure governance requirements are embedded into model development ...

DP World

Manager, Data Governance

Charlotte, NC · On-site

... AI, machine learning, and advanced analytics capabilities. This role will ensure that data is ... Partner with AI/ML teams to ensure governance requirements are embedded into model development ...

TrueML

Integrations Engineer

Concord, NC · Remote

$65K - $85K/yr

We combine machine learning with a human-based approach to transform debt resolution and to get ... embedded directly within our Implementations team. You are stepping into this role to spearhead the ...

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Showing results 21-40

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Concord, NC

Embedded Machine Learning Internship information

See Concord, NC salary details

$23.8K

$39.7K

$82K

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

As of Aug 8, 2026, the average yearly pay for embedded machine learning internship in Concord, NC is $39,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,800.00 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.
What are popular job titles related to Embedded Machine Learning Internship jobs in Concord, NC? For Embedded Machine Learning Internship jobs in Concord, NC, the most frequently searched job titles are:
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Embedded Machine Learning Internship jobs near you

AVP Digital Transformation

McKesson

Concord, NC

Full-time

Posted 7 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

Job description

It's More Than a Career, It's a Mission.


Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day.

Our Mission


People who live with cancer - those who work to prevent it, fight it, and survive it - are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world.

The AVP of Digital Transformation will spearhead the enterprise-wide integration of digital technologies at SCRI. This role demands a visionary leader who can seamlessly align technology strategy with business priorities, ignite innovation, and deliver measurable impact through digital excellence.

Success in this role requires a deep command of emerging technologies-particularly AI-and the business acumen to translate them into scalable, value-driven solutions. This leader will architect and execute strategic plans that not only implement technology but also drive adoption and maximize enterprise value.

While deeply embedded within specific business segments to ensure contextual relevance, this leader maintains a clear enterprise-wide perspective-balancing local needs with global outcomes to deliver transformative results across SCRI.

Key Responsibilities:

  • Strategic Planning & AlignmentPartner with senior executives and research leaders to embed digital technologies, data analytics, and AI into clinical research operations-ensuring alignment with SCRI's overarching business and research strategies.

  • Data & AI Vision Execution Define a forward-looking strategy for data and AI integration in clinical research. Champion the deployment of AI-driven tools to transform cancer care

  • Product Management LeadershipLead the full product lifecycle for digital solutions-from ideation and roadmap development to stakeholder alignment and continuous improvement. Lead product teams to prioritize features and initiatives based on their potential benefit and business objectives. Ensure initiatives are delivered on time, within scope, and with measurable business impact.

  • Use Case Development & ROI ArticulationIdentify high-impact use cases for digital transformation and AI across clinical operations. Conduct rigorous ROI analyses to build stakeholder confidence and secure investment.

  • AI-Driven Process OptimizationLeverage AI and machine learning to analyze and streamline business processes, improve data integrity, and elevate the patient experience.

  • Change Management & Adoption LeadershipLead enterprise-wide change initiatives to drive adoption of new technologies. Partner with change management teams to deliver training, communication, and support strategies that ensure sustained value realization.

  • Risk & Compliance OversightProvide strategic guidance on the risks and benefits of digital and AI technologies in clinical research. Ensure all initiatives comply with quality standards and ethical frameworks.

  • Performance Measurement & ReportingEstablish and track KPIs to evaluate the impact of digital and AI initiatives on research productivity, quality, and operational efficiency.

  • Team Leadership & Talent DevelopmentBuild and lead a high-performing digital transformation team. Mentor and coach team members to grow capabilities, foster innovation, and cultivate a culture of continuous learning and excellence.

  • Stakeholder Engagement & Ecosystem CollaborationBuild and nurture strong relationships with internal stakeholders, technology vendors, regulatory bodies, and clinical partners to foster innovation and cross-functional alignment.

Key Competencies:

  • Digital Clinical Research Tools and Technologies

  • Data Analytics and AI

  • Innovation and Change Advocacy

  • Strategic Thinking and Problem Solving

  • Effective Communication and Stakeholder Management

  • Data-Driven Decision Making

  • Regulatory Knowledge and Compliance

  • Leadership and Team Development

Minimum Requirements:

  • Bachelor's Degree

  • Typically, 15+ years of experience in clinical research or a related field, with a strong focus on digital transformation, data analytics, and AI integration.

  • Demonstrated experience in leading digital and AI initiatives within a clinical or healthcare setting.

  • Proven track record in strategic planning, project management, and change leadership.

  • In-depth understanding of clinical research processes, regulatory requirements, and industry trends.

  • Access to cutting-edge technology and tools to support digital strategy.

  • Ability to manage multiple projects simultaneously and prioritize tasks effectively.

  • Collaborate in a dynamic, fast-paced setting with a team of skilled professionals.

  • Opportunity to influence and drive innovation within the organization.

  • Strong analytical and problem-solving skills with the ability to address complex challenges.

  • Excellent communication skills with the ability to influence and inspire across all levels of the organization.

  • Proficiency in system design tools and methodologies

  • Experience with cloud platforms like AWS, Azure, or Google Cloud for scalable and secure data storage and processing

  • Experience with ensuring interoperability between different clinical systems and platforms to facilitate seamless data exchange and collaboration

  • Extensive knowledge of advanced engineering principles, theories, and concepts.

About Sarah Cannon Research Institute


Sarah Cannon Research Institute (SCRI) is one of the world's leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 850 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA in the past decade. SCRI's research network brings together more than 1,300 physicians who are enrolling patients into clinical trials at more than 200 locations in 20+ states across the U.S. Please click here to learn more about our research offerings.
We care about the well-being of the patients and communities we serve, and that starts with caring for our people. That's why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse colleague population and ensure they are the healthiest versions of themselves. For more information regarding benefits through our parent company, McKesson, please click here.
As part of Total Rewards, we are proud to offer a competitive compensation package. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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