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Embedded Machine Learning Internship Jobs in New Jersey

Burlington

Software Engineer

Edgewater Park, NJ

$80K - $105K/yr

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Fairygodboss

Lead Data Scientist

Parsippany Troy Hills, NJ · On-site

$100 - $130/hr

... embedded analytics solutions. You'll lead the design and implementation of data‑driven solutions to address business problems. Develop and deploy machine learning models to improve business ...

KPMG US

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

Burlington Stores

Software Engineer

Beverly, NJ · On-site

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

BMW Group

$29.90/hr

This is a part-time internship position for our Fall rotation, from September 8th, 2025 through ... machine learning, and technology integration. * Utilize advanced analytics to extract valuable ...

Johnson and Johnson

R&D Spring Co-op

Titusville, NJ · On-site

This internship will explore how AI judges can be calibrated to different scientific users or ... Currently enrolled in a PhD program in NLP, machine learning, computer science, biomedical ...

New

Jj

R&D Spring Co-op

Titusville, NJ · On-site +1

$23.50/hr

This internship will explore how AI judges can be calibrated to different scientific users or ... Currently enrolled in a PhD program in NLP, machine learning, computer science, biomedical ...

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Embedded Machine Learning Internship information

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 the most commonly searched types of Embedded Machine Learning jobs in New Jersey?

The most popular types of Embedded Machine Learning jobs in New Jersey are:

What are popular job titles related to Embedded Machine Learning Internship jobs in New Jersey?

For Embedded Machine Learning Internship jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Internship jobs in New Jersey look for?

The top searched job categories for Embedded Machine Learning Internship jobs in New Jersey are:

What cities in New Jersey are hiring for Embedded Machine Learning Internship jobs?

Cities in New Jersey with the most Embedded Machine Learning Internship job openings:

Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in New Jersey as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Data and Transformation Associate

Valley National Bancorp

Morristown, NJ • On-site

$16.50 - $21.50/hr

Other

Posted 13 days ago

Job description

Job Title

Responsibilities include but are not limited to:

  • Participate in classroom training to deepen knowledge in specific professional skills as well as banking and fintech concepts.
  • Learn the core business activities of a commercial & consumer bank.
  • Complete projects within assigned track in a timely manner and collaborate effectively across teams within the Data-Analytics, Technology and Transformation organizations.
  • Work on transformational projects aligned with strategic objectives.
  • Follow best practices and standards for coding, testing, documentation, and security.
  • Develop data driven presentations.
  • Under Managements direction, learns to manage projects, completing specific assigned tasks.
  • Analyze, organize, and use data & insights to support decision making.

Required Skills:

  • Strong analytical skills.
  • Excellent verbal and written communication skills.
  • Ability to work independently and collaboratively in a team.
  • Ability to learn quickly and apply new skills and knowledge.
  • Attention to detail and quality.
  • Ability to adapt to changing priorities and environments.
  • Intermediate skills in Microsoft Excel, PowerPoint, and Word.
  • Must demonstrate initiative, curiosity, and creativity in solving problems and learning new skills.

Required Experience:

  • Bachelor's degree in computer science, Engineering, Computer Information Systems, Business Analytics/Data Science, or related field.
  • Academic or internship-based knowledge of databases, web services, cloud computing, security and project management.

Preferred Experience:

  • 0-2 years of relevant work or internship experience supporting Transformation, Technology or Data organization.
  • Proficiency in one or more programming languages such as Java, Python, C#, or JavaScript.
  • Experience with data analysis, visualization, or machine learning is a plus.
  • Familiarity with software development tools and methodologies such as Git, Agile, or Scrum.

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