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Embedded Machine Learning Internship Jobs in Philadelphia, PA

Demand Intern

Cedar Brook, NJ ยท On-site +1

$15.25 - $19.75/hr

... the Machine Learning Models to create the best forecast. The team also ensure all New Product launches are reflected correctly within the forecast. THE ROLE This internship supports our Demand ...

Demand Intern

Cedar Brook, NJ ยท On-site +1

$15.25 - $19.75/hr

... the Machine Learning Models to create the best forecast. The team also ensure all New Product launches are reflected correctly within the forecast. THE ROLE This internship supports our Demand ...

... 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 ...

Nuuly Lead Data Scientist

Philadelphia, PA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Summary Nuuly is looking for a Lead Data Scientist who will lead data science work embedded in ... Manage machine learning and statistical models to address various business needs * Demonstrate ...

Nuuly Lead Data Scientist

Philadelphia, PA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Summary Nuuly is looking for a Lead Data Scientist who will lead data science work embedded in ... Manage machine learning and statistical models to address various business needs * Demonstrate ...

Nuuly Lead Data Scientist

Philadelphia, PA ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Summary Nuuly is looking for a Lead Data Scientist who will lead data science work embedded in ... Manage machine learning and statistical models to address various business needs * Demonstrate ...

Showing results 21-40

Embedded Machine Learning Internship information

See Philadelphia, PA salary details

$25.7K

$43K

$88.8K

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

As of Aug 15, 2026, the average yearly pay for embedded machine learning internship in Philadelphia, PA is $42,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 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 job categories do people searching Embedded Machine Learning Internship jobs in Philadelphia, PA look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Embedded Machine Learning Internship jobs?

Cities near Philadelphia, PA with the most Embedded Machine Learning Internship job openings:

Infographic showing various Embedded Machine Learning Internship job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,971 per year, or $20.7 per hour.

Quantitative Systematic Trading Internship - PhD: Summer 2027

Susquehanna International Group, LLP

Philadelphia, PA โ€ข On-site

Full-time, Temporary, Internship

Re-posted 26 days ago


Job description

Overview
As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.
What you can expect
  • Modelling. Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
  • Execution. Create strategies to execute on modelling ideas under simulated competition
  • Evaluation. Backtest ideas using historical market data and revise strategies
  • Breadth. Explore all aspects of quant work and different areas of Susquehanna's business
  • Education. Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
  • Collaboration. Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.
What we're looking for
  • PhDs (in penultimate or final year) in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics
  • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
  • Clear communicators in a fast-paced and highly collaborative environment
  • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

By applying to this role, you will be automatically considered for the Quantitative Research Internship program. There is no need to apply to both positions to be considered for both.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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