At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That's why we need smart, committed people to join us. Whether you're looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
Job Summary
Iron Mountain is seeking a motivated Global Platforms & Technology Machine Learning Associate to join our AI Services team.
In this role, you will be responsible for developing and optimizing applied AI systems, including Large Language Model (LLM) applications and Agentic platforms, to solve real-world enterprise challenges.
What You'll Do
In this role, you will:
- Responsibility 1: Develop and implement AI features for Agentic platform, focusing on System APIs and long term enterprise software development.
- Responsibility 2: Collaborate with cross-functional engineering leads and peer groups environment to scale AI products for global enterprise use cases.
- Responsibility 3: Ensure compliance with core computer science fundamentals. Such as data structure and algorithms, theory of computation, discrete mathematics and software engineering -- not champions in theory but can be used in applications and organizational engineering standards by writing clean, efficient code in Golang or JVM languages.
What You'll Bring
The ideal candidate will have:
- Computer Science or related Bachelor's or Master's degree graduated May 2026 or graduating May 2027.
- Strong knowledge of Machine Learning as deep Learning, NLP, and Reinforcement Learning, core algorithms, and mathematics.
- Proven ability in Golang or JVM languages (Java/Kotlin), with experience in API services development and a high-level proficiency of Python.
- Data engineering background in applications such as batch processing and query engineers is a significant plus.
Reasonably expected salary range: $44,600.00 - $55,700.00
Please note that an employee's starting salary may vary based on a variety of factors. Where State, Municipal, Provincial, Territorial or other legal minimum wages exceed the federal minimum wage, employees are entitled to the higher rate.
Category: Other Designations
