Applied Machine Learning - Software Engineer

This job is with Avery Dennison, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. We design and develop labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2024 were $8.8 billion. Learn more at www.averydennison.com.

Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our Talent Acquisition team [email protected].

We are seeking a highly skilled engineer with expertise in machine learning to join our innovative team. In this role, you will be responsible for cleaning, preprocessing, and analyzing simulation and measurement data to ensure its suitability for machine learning-based training. You will conduct research and apply machine learning methodologies to enhance antenna models, improving their efficiency and performance.

In addition, you will be involved in designing and developing applications for RFID readers and handheld reader devices running on Android and iOS. This includes robust, user-friendly applications that communicate through various protocols such as Wi-Fi, Bluetooth, LTE, NFC, and UHF RFID.

Responsibilities

• Clean, preprocess, and analyze simulation and measurement data for machine learning applications.
• Ensure the data is prepared and suitable for machine learning-based training.
• Conduct research and apply machine learning methodologies to improve antenna models, to make them more efficient and effective.
• Design and develop mobile applications for Android and iOS platforms.
• Develop software solutions for RFID readers and handheld reader devices.
• Establish communication with gateways using protocols such as Wi-Fi, Bluetooth, LTE, NFC, and UHF RFID.
• Work with SDKs and APIs to integrate hardware and software components.
• Utilize pre-built libraries for device communication.
• Implement intuitive user interfaces for data visualization and interaction.
• Collaborate with cross-functional teams to define and refine system requirements.
  
  

Qualifications

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
• Strong understanding of fundamental machine learning concepts and algorithms.
• Hands-on experience with cleaning, preprocessing, and analyzing data
• Experience with machine learning frameworks and python tools.
• Proficiency in at least two of the following: Python, C#, Java, Swift, Kotlin.
• Experience developing mobile applications on Android and/or iOS.
• Understanding of communication protocols: Wi-Fi, Bluetooth, LTE, NFC, UHF RFID.
• Hands-on experience with SDKs and APIs.
• Proficiency in English
• 3-5 years of relevant work experience.
  
  

Preferred Qualifications

• Experience in modifying firmware for IC modules using appropriate communication protocols to meet application-specific requirements.
• Experience with CAD tools is a plus
• Knowledge of the basics of RF Engineering
• Basic understanding of RFID technology
  
  

Additional Information

Additional information

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We understand diversity and equal opportunities as enrichment for our future-oriented work at Avery Dennison. With us, teams are balanced and diverse. Because each of us is unique, and we appreciate bringing together different personalities and talents.

Avery Dennison is an equal-opportunity employer. You are interested in knowing more about our Diversity & Inclusion approach? Please go toaverydennison.com/en/home/about-us/diversity-and-inclusion.html

At Avery Dennison, we do what we love, and we love what we do - Just click here, and get us to know even better:Life @ Avery Dennison (linkedin.com/company/avery-dennison/life/emea)