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Intern Computer Vision Deep Learning Engineer Jobs in New Jersey

asrcfh

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Develops, researches, and applies machine learning, deep learning, visual artificial intelligence ...

asrcfh

Senior Machine Learning Engineer

Moorestown, NJ · On-site

$103K - $141K/yr

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ ... Develops, researches, and applies machine learning, deep learning, visual artificial intelligence ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

Design deep learning and natural language processing models to analyze complex data across business ... Learning Engineer, or Applied Scientist, specializing in computer vision, natural language ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in New Jersey

Intern Computer Vision Deep Learning Engineer information

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in New Jersey?

The most popular types of Computer Vision Deep Learning Engineer jobs in New Jersey are:

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What cities in New Jersey are hiring for Intern Computer Vision Deep Learning Engineer jobs?

Cities in New Jersey with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you

Machine Learning Engineer

Parsippany Troy Hills, NJ • On-site

Dale Workforce Solutions
IT Services • 11 - 50 employees
Learn more about Dale Workforce Solutionsexternal

Other

Posted 4 days ago

Job description

Machine Learning Engineer – Recommendation Systems (Consumer Marketing)

We are seeking a skilled Machine Learning Engineer with deep expertise in building and optimizing recommendation systems within the consumer marketing space. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation and targeting models that drive customer engagement, conversion, and revenue growth. Experience translating consumer behavior and marketing data into actionable, personalized experiences is essential.

Key Responsibilities:

  • Design and develop machine learning models for recommendation and personalization systems (e.g., collaborative filtering, deep learning, hybrid approaches) tailored to consumer marketing use cases such as product recommendations, next-best-action, and audience targeting.
  • Optimize models for scalability, performance, and real-time predictions across large-scale consumer datasets.
  • Collaborate with business leaders, marketing partners, product and engineering teams to integrate models into production and campaign pipelines.
  • Analyze and improve recommendation quality using metrics like precision, recall, click-through rate, conversion, and customer lifetime value.
  • Leverage customer segmentation, behavioral, and first-party marketing data to enhance personalization and relevance.
  • Experiment with cutting-edge techniques (e.g., reinforcement learning, graph neural networks, contextual bandits) to enhance recommendations and marketing outcomes.

Requirements:

  • 5+ years of experience in machine learning, with a focus on recommendation systems, ideally within consumer marketing, retail, e-commerce, or a related consumer-facing domain.
  • Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
  • Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
  • Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems
  • Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
  • Experience with Databricks and AWS.
  • Excellent problem-solving skills and a passion for delivering impactful, customer-centric solutions.

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