Machine Learning Engineer, Openings Studio, ASSA ABLOY
Location : Phoenix, AZ ( must be available to work onsite)
ASSA ABLOY is a global leader in door opening solutions dedicated to providing a safe, secure, and accessible building environment. Every day, we help billions of people move through a safer, more open world with ease. If you’ve ever walked through an automatic door, stayed in a hotel, or gone through passport control, you’ve probably used one of our products or services. ASSA ABLOY’s offerings include products and services related to locks, doors, gates, and entrance automation such as controlling access and confirming identities with keys, cards, tags, mobile and biometric identity verification systems, mechanical and digital locks, cylinders, security doors and automated entrances.
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access.
As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.
What you will be doing :
We are looking for a talented and highly motivated maverick, someone who’s not afraid to take on challenges and pave new ground, especially in this new age of artificial intelligence. As a Machine Learning Engineer, Openings Studio, you will roll up your sleeves to help us discover new and interesting ways to make our users’ lives faster and easier than ever before, leveraging both traditional machine learning techniques and Large Language Modeling (LLM) and Generative AI solutions.
Key areas you will contribute to the role include :
Education and / or Experience :
Preferred Qualifications :
Special considerations :
ASSA ABLOY offers a competitive compensation and benefits package, including a 401(k) plan, education assistance, and an environment that reflects our commitment to our employees. The wage range for this role considers a broad scope of factors that are considered when making compensation decisions. Pay within each range is based on a variety of factors including, but not limited to, to primary work job-related knowledge, skills, experience, training, licensure and certifications, business requirements, geographic location and other business and organizational needs. This salary range is a reasonable estimate for this position at the time of posting. ASSA ABLOY conducts regular review of compensation ranges and therefore reserves the right to alter this range at any given time.
Working for ASSA ABLOY means that you will be part of a dynamic environment, developing innovative solutions to improve our customers' lives. As the global leader in door opening solutions, we are using the latest technologies to open doors to events, hospitals, education, homes, hotels, airports and businesses. Joining ASSA ABLOY means being part of a fast-moving company with many opportunities.
“Let’s open the doors to the future – together!”
ASSA ABLOY is an Equal Opportunity Employer / Minorities / Females / Disabled / Veteran
We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access.
As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.
As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.
Machine Learning Engineer • Phoenix, AZ, US