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Multiple Paid Internships Available

Brand Experience Lab
Email

Applicants must be NJ residents/NJ university students. 

Unified Resources has received a NJ Career Accelerator Internship Grant Program (CAIGP) funding for five interns at our retail technology lab in Jersey City. Four of these internships with be with our tech/project management team and one will be part of our marketing team. These will be for 10 week positions, working either onsite in our Jersey City office or hybrid depending upon the internship.  As an intern, you will have the opportunity to contribute to real-world projects involving machine learning, computer vision, and embedded systems and marketing, gaining valuable experience in a fast-paced and innovative environment.


Company Projects:

Automated Inventory Management Systems:

  • Develop and implement machine learning algorithms for object detection, recognition, and tracking in retail environments.
  • Optimize algorithms for real-time performance on embedded devices.
  • Train and evaluate models using large datasets of product images and videos.
  • Collaborate with hardware engineers to integrate software solutions with camera systems and sensors.
  • Contribute to the development of user interfaces for inventory management dashboards.

Shopper Behavior Analysis:

  • Design and implement computer vision algorithms for people counting, dwell time estimation, and gaze tracking.
  • Develop machine learning models for Human Activity Recognition (HAR) from video data.
  • Analyze shopper behavior patterns to provide insights for optimizing store layouts, product placement, and marketing strategies.
  • Visualize and report findings using data analysis and visualization tools.

Smart Vending Machines and Unattended Retail:

  • Develop software for payment processing, inventory management, and user interaction in smart vending machines.
  • Design and implement secure communication protocols for unattended retail systems.
  • Contribute to the development of user interfaces for touch screen displays and mobile apps.
  • Research and evaluate emerging technologies for unattended retail, such as facial recognition and biometric authentication.


Desired major(s)

  • Computer Science
  • Computing and Information Technologies
  • Embedded Engineering
  • Artificial Intelligence
  • Machine Learning
  • Data Science
  • Game Design and Development (with relevant programming skills)
  • Software Engineering
  • Web and Mobile Computing
  • Marketing

How to apply

Send resumes to azelcer@belunified.com and srolnick@belunified.com 

Internship Positions: 
Computer Science

  • Summary: Computer science interns will be core to developing the software that drives our innovative retail solutions. They will apply their knowledge of algorithms, data structures, and software design principles to build robust and efficient systems.
  • Relevance: These interns will contribute to all areas of our technology, including developing machine learning models, implementing computer vision algorithms, designing software architecture for embedded systems, and building user interfaces for our applications.
  • Responsibilities, duties, and projects:
    • Design, implement, and test software components for various retail applications (inventory management, shopper analytics, payment systems).
    • Develop algorithms and data structures for efficient data processing and analysis.
    • Collaborate with other engineers to integrate software modules into larger systems.
    • Optimize code for performance and scalability.
    • Contribute to the development of user interfaces and APIs.
    • Participate in code reviews and testing procedures.

Computing and Information Technologies

  • Summary: Computing and Information Technologies interns will focus on the integration of various technologies to create seamless and effective retail solutions. They will work with diverse hardware and software components, ensuring compatibility and optimal performance.
  • Relevance: These interns will play a key role in connecting different parts of our systems, such as integrating sensors with embedded devices, setting up communication networks for data transfer, and ensuring the smooth operation of our cloud-based platforms.
  • Responsibilities, duties, and projects:
    • Integrate various hardware and software components (sensors, cameras, embedded devices, cloud platforms).
    • Troubleshoot and resolve technical issues related to system integration.
    • Assist in the deployment and maintenance of retail technologies in store environments.
    • Evaluate and recommend new technologies to enhance system performance and efficiency.

Embedded Engineering

  • Summary: Embedded engineering interns will work on the hardware and software that power our intelligent devices in retail environments. They will develop and optimize code for microcontrollers, ensuring efficient performance and low power consumption.
  • Relevance: These interns will be crucial for building the "brains" of our smart vending machines, interactive displays, and sensor-equipped devices. They will implement algorithms for real-time processing and ensure reliable operation in various retail settings.
  • Responsibilities, duties, and projects:
    • Develop and implement firmware for embedded systems using C/C++.
    • Design and test embedded software for real-time operating systems (RTOS).
    • Optimize code for performance, memory usage, and power consumption.
    • Integrate sensors and peripherals with microcontrollers.
    • Debug and troubleshoot embedded systems.
    • Collaborate with hardware engineers to design and test new devices.

Artificial Intelligence

  • Summary: Artificial intelligence interns will focus on developing intelligent algorithms that enable our systems to learn, reason, and make decisions. They will explore and implement cutting-edge techniques in machine learning, deep learning, and computer vision.
  • Relevance: These interns will be at the forefront of developing AI-powered solutions for automated inventory management, shopper behavior analysis, and personalized customer experiences in retail environments.
  • Responsibilities, duties, and projects:
    • Research and implement machine learning algorithms for retail applications (e.g., object detection, classification, prediction).
    • Develop and train deep learning models for computer vision tasks (e.g., image recognition, object tracking).
    • Explore and implement AI techniques for natural language processing (NLP) in retail (e.g., sentiment analysis, chatbot development).
    • Evaluate and optimize AI models for accuracy and efficiency.
    • Stay up-to-date with the latest advancements in AI research.

Machine Learning

  • Summary: Machine learning interns will apply their expertise in statistical modeling and data analysis to build predictive models and extract valuable insights from retail data. They will train and evaluate algorithms for tasks like object recognition, shopper behavior prediction, and inventory forecasting.
  • Relevance: These interns will contribute directly to the development of our core technologies, such as automated inventory management systems that can accurately track products and predict demand, and shopper behavior analysis tools that provide insights into customer preferences.
  • Responsibilities, duties, and projects:
    • Collect and preprocess large datasets of retail data (sales, inventory, customer behavior).
    • Develop and train machine learning models for various retail applications (e.g., demand forecasting, customer segmentation, fraud detection).
    • Evaluate and optimize model performance using appropriate metrics.
    • Implement machine learning algorithms in production systems.
    • Collaborate with data scientists and software engineers to integrate models into retail applications.

Data Science

  • Summary: Data science interns will analyze large datasets of retail information to uncover hidden patterns and trends. They will apply statistical methods and data visualization techniques to provide actionable insights for improving retail operations and customer experiences.
  • Relevance: These interns will play a key role in understanding shopper behavior, optimizing store layouts, and personalizing marketing campaigns. They will transform raw data into meaningful information that drives business decisions.
  • Responsibilities, duties, and projects:
    • Analyze retail data using statistical methods and data mining techniques.
    • Identify trends and patterns in customer behavior, sales data, and inventory levels.
    • Develop visualizations and dashboards to communicate insights to stakeholders.
    • Build predictive models to forecast demand, optimize pricing, and improve inventory management.
    • Collaborate with business analysts and marketing teams to translate data insights into actionable strategies.

Web and Mobile Computing

  • Summary: Web and mobile computing interns will focus on creating user-friendly interfaces and applications for accessing our retail platforms. They will develop responsive websites and mobile apps that provide seamless experiences across different devices.
  • Relevance: These interns will be responsible for building the front-end of our solutions, ensuring that customers and retailers can easily interact with our systems, access data, and manage operations through intuitive web and mobile interfaces.
  • Responsibilities, duties, and projects:
    • Develop user interfaces for web and mobile applications using HTML, CSS, and JavaScript.
    • Build responsive web designs that adapt to different screen sizes and devices.
    • Implement user interactions and animations to enhance user experience.
    • Integrate front-end components with backend systems and APIs.
    • Test and debug web and mobile applications across different browsers and devices.
    • Collaborate with UX designers and backend engineers to create seamless user experiences.

Marketing

Summary:  Students will get hands-on experience in marketing, content strategy, and digital engagement. Interns will develop industry-specific skills, expand their professional portfolios, and gain insights into the intersection of technology and retail. This experience will enhance their employability in the evolving digital and retail industries.

Responsibilities, Duties, and Projects:

  • Website & Content Management:
    • Assist with updating and maintaining the company website to ensure accurate and engaging content.
    • Come up with ideas and create bi-monthly blog articles covering retail technology trends, company updates, and industry insights.
    • Develop and refine SEO strategies to increase website traffic and engagement.
  • Podcast & Media Production:
    • Contribute to the launch and management of a company podcast.
    • Help plan, produce, and publish podcast episodes every two months, increasing to monthly after six months.
    • Assist with guest outreach, scripting, and editing of podcast episodes.
  • Thought Leadership & Industry Engagement:
    • Plan and execute at least quarterly retail “walkabouts” to analyze trends and provide insights via blog articles and podcasts.
    • Help research and write 4-6 articles annually for external publications, establishing Unified Resources as an industry thought leader.
    • Help identify and coordinate 1-2 speaking engagement opportunities for company representatives at relevant industry events.