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Embedded Machine Learning Internship Jobs in Pittsburgh, PA

Deloitte

Cyber - SecOps - Consultant

Pittsburgh, PA · On-site

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

PNC Bank

Technology Undergraduate Intern

Pittsburgh, PA

$25.24 - $42.07/hr

Past example internship projects include machine learning development, automating current manual processes, infrastructure provisioning, and outer API servicing. PNC looks for interns to bring a ...

New

PNC Bank

Technology Undergraduate Intern

Pittsburgh, PA

$18 - $35/hr

Past example internship projects include machine learning development, automating current manual processes, infrastructure provisioning, and outer API servicing. PNC looks for interns to bring a ...

New

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships, work experience ...

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships, work experience ...

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships, work experience ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Pittsburgh, PA

Embedded Machine Learning Internship information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

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

As of Aug 7, 2026, the average yearly pay for embedded machine learning internship in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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

Deep Learning Engineer II (Multiple Positions) (REF286216I)

Bosch Group

Pittsburgh, PA • Hybrid

$77K - $104K/yr

Full-time

Re-posted 24 days ago

Job description

Company Description

Robert Bosch LLC seeks Deep Learning Engineer II (Multiple Positions) at its facility located at 2555 Smallman Street, Suite 300, Pittsburgh, PA 15222. Conduct research and advanced development of innovative signal processing and deep learning systems specifically designed to process and analyze sensor signals. These sensor signals include, but are not limited to, audio, vibration, ultrasounds, radar, lidar, power traces, and torque. Utilize expertise in machine learning and signal processing to develop innovative algorithms that accurately interpret and respond to these diverse types of data. Manage the development of artificial intelligence (AI) systems integrated with large language models. These AI systems support agentic workflows, automating complex tasks typically performed by human agents. Work on creating multimodal retrieval-augmented generation applications, combining multiple forms of data (e.g., text, images, audio) to enhance the system's ability to generate relevant and contextually appropriate responses. Collaborate with teams across the organization worldwide to ensure the successful implementation and deployment of these advanced AI solutions on embedded platforms. REQS: This position requires a master's degree or foreign equivalent in Information Technology, Electronic Engineering or a related field and 3 years of experience as a Deep Learning Engineer, Research Engineer or occupation involving design, development, and maintenance of deep learning pipelines for acoustic and vibration signals. Additionally, the applicant must have employment experience with: (1) Deep learning and signal processing frameworks in Python; (2) PyTorch and Lightning; (3) MLFlow and Numpy; (4) Scipy; and (5) Matplotlib. Telecommuting: Hybrid, 2 days per week WFH. Applicants who are interested in this position should apply https://www.bosch.us/careers/, search [Deep Learning Engineer II (Multiple Positions) / REF286216I]

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