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Embedded Machine Learning Internship Jobs in McKinney, TX

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

... internship, or thesis in each of the following: Java, Python, or Node.js; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Machine learning, statistical analysis, and predictive modeling; Machine ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Internship experience does not apply) * At least 4 years of experience programming with Python ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Required Skills and Experience : * 3-5+ years of experience (relevant academic internships and projects can be considered in lieu of professional experience) with machine learning, statistical ...

Neighborly

AI Internship

Irving, TX · On-site

Basic knowledge of machine learning, data analytics, and AI concepts. * Familiarity with Python and common AI/ML libraries. * Strong analytical and problem-solving skills. * Excellent communication ...

Neighborlybrands

AI Internship

Irving, TX · Hybrid

Basic knowledge of machine learning, data analytics, and AI concepts. * Familiarity with Python and common AI/ML libraries. * Strong analytical and problem-solving skills. * Excellent communication ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative AI use cases. * Available for a full-time, on-site internship for a minimum of 6-12 months ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Prior experience must include applied AI / Machine Learning , with hands-on exposure to Generative AI use cases. * Available for a full-time, on-site internship for a minimum of 6-12 months ...

ERP SAVVY LLC

SAP ISLM Technical Consultant

Dallas, TX · On-site

$62.25 - $85/hr

Lead technical design and development of SAP ISLM solutions with embedded AI/ML capabilities ... Work with data scientists and business analysts to deploy predictive models and machine learning ...

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist, Learnable Planner

Dallas, TX · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

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All JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in McKinney, TX

Embedded Machine Learning Internship information

See McKinney, TX salary details

$23.7K

$39.5K

$81.7K

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

As of Jun 27, 2026, the average yearly pay for embedded machine learning internship in McKinney, TX is $39,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,700.00 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
SR MACHINE LEARNING EMBEDDED ENGINEER

SR MACHINE LEARNING EMBEDDED ENGINEER

Software Technology Inc

Plano, TX • On-site

$119K - $156K/yr

Other

Posted 20 days ago

Job description

Sr Machine Learning Engineer

The client's Mobility team is responsible for building and managing our connected vehicle platforms, supporting product research using vehicle sensor data, and creating new and exciting data services for client-customers that make driving safer, more convenient, and fun. We’re looking for a Sr Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results-driven, interested in how to apply advanced machine learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative, and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.

Responsibilities
  • Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive the discovery of new-generation mobility products
  • Establish scalable, efficient, automated processes for large-scale data analysis, model development, model validation and model implementation
  • Develop ML models to run in vehicle (Edge)
  • Develop and deploy CV models on Edge
  • Drive adoption of best practices across organizations
  • Deliver production-ready code
  • Work with Product Owners to define the KPIs for machine learning projects
  • Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods
  • Prepare and present findings to both technical and non-technical audiences
  • Work within the constraints of time, budget, and resources capacities to align with the client's global vision
  • Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs
Qualifications
  • 5+ years of production experience working in Data Science or Software Engineering
  • 3+ years of production experience in Deep Learning - Computer Vision
  • Solid production experience using Python (including NumPy), C/ C++, Lua and SQL
  • Experience in embedded systems development and troubleshooting and with real-time operating systems
  • Experience with CNNs and other types of neural networks in machine learning, or Robotics, or AI
  • Experience in neural network quantization, compression, and algorithm pruning
  • Application layer development and optimization of deep learning algorithms in embedded systems
  • Experience with C++ development in embedded applications
  • Experience with common embedded operating systems and environments such as Linux, etc.
  • Solid production experience using TensorFlow and/or PyTorch
  • Production experience with Apache Spark
  • Experience implementing solutions for video and image segmentation, object detection and tracking, and/or semantic/instance segmentation
  • Strong fundamentals in problem solving, algorithm design and complexity analysis
  • Experience implementing and orchestrating Machine Learning pipelines in production environments, using tools such as Kubeflow, airflow, Pachyderm, mlflow, etc.

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