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 via [email protected].
Job Description
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
Who we are! - Our Story:
Each of us, Every day! Eight Values. One Team!
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 to averydennison.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)
Avery Dennison Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Avery Dennison and has not been reviewed or approved by Avery Dennison.
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Healthcare Strength — Pay and benefits are frequently characterized as decent or good, supported by multiple medical plan options alongside dental, vision, and mental health coverage. Company-paid basic life insurance and short-term disability coverage add to the perceived strength of core protection benefits.
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Retirement Support — Retirement support is strengthened by an automatic employer contribution plus an additional employer match tied to employee contributions. The availability of an employee stock purchase plan further broadens long-term savings options beyond the 401(k).
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Parental & Family Support — Family-related support is reinforced through parental leave and dedicated adoption and fertility assistance with a stated benefit amount. Domestic partner eligibility and LGBTQIA+ healthcare support features expand coverage for different family structures.
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What We Do
Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 30,000 employees in more than 50 countries. Reported sales in 2020 were $7.0 billion.
