Machine Learning Associate

Posted 2 Hours Ago
Be an Early Applicant
3 Locations
Remote
45K-56K Annually
Entry level
Big Data • Cloud • Information Technology
The Role
Develop and optimize applied AI systems, including LLM applications and agentic platforms, for enterprise use cases. Build system APIs and scalable software in Golang or JVM languages, collaborate with engineering teams, and write clean, efficient code using computer science fundamentals. The role requires knowledge of machine learning, deep learning, NLP, reinforcement learning, mathematics, Python, and API development. Data engineering experience with batch processing and query engines is preferred.
Summary Generated by Built In

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 stor​y 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

Skills Required

  • Bachelor’s or master’s degree in Computer Science or a related field, graduating May 2026 or May 2027
  • Strong knowledge of machine learning, deep learning, natural language processing, reinforcement learning, core algorithms, and mathematics
  • Proven ability in Golang or JVM languages such as Java or Kotlin
  • Experience developing API services
  • High-level proficiency in Python
  • Data engineering experience with batch processing and query engines

Iron Mountain Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Iron Mountain and has not been reviewed or approved by Iron Mountain.

  • Inclusive Benefits Coverage Inclusive, modern offerings are emphasized, including support for mental health, gender‑affirming care (with travel/lodging where needed), and family‑planning benefits. Recognition for disability inclusion is also highlighted, which aligns with accessible benefits and leave support.
  • Retirement Support A formal 401(k) program is described with automatic enrollment and a clear employer match structure, with immediate vesting referenced in the materials. Access to supporting infrastructure and guidance is noted through dedicated benefits portals and administrators.
  • Healthcare Strength Multiple national medical plan options are outlined, along with care navigation, virtual primary care, and pharmacy coverage. Additional wellbeing support is described via EAP services and structured wellbeing programming.

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The Company
HQ: Boston, MA
32,000 Employees
Year Founded: 1951

What We Do

Iron Mountain Incorporated (NYSE: IRM) is the global leader for storage and information management services. Trusted by more than 220,000 organizations around the world, Iron Mountain boasts a real estate network of more than 80 million square feet across more than 1,350 facilities in 45 countries dedicated to protecting and preserving what matters most for its customers. Iron Mountain’s solutions portfolio includes records management, data management, document management, data centers, art storage and logistics, and secure shredding help organizations to lower storage costs, comply with regulations, recover from disaster, and better use their information. Founded in 1951, Iron Mountain stores and protects billions of information assets, including critical business documents, electronic information, medical data and cultural and historical artifacts.

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