Iron Mountain Logo

Iron Mountain

Machine Learning Associate

Posted Yesterday
Remote
2 Locations
45K-56K Annually
Entry level
Remote
2 Locations
45K-56K Annually
Entry level
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.
The summary above was generated by AI

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

HQ

Iron Mountain Boston, Massachusetts, USA Office

1 Federal Street, Boston, MA, United States, 02110

Similar Jobs

9 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
96K-162K Annually
Junior
96K-162K Annually
Junior
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Provides technical program and project management for cross-functional enterprise security initiatives. Coordinates stakeholders, roadmaps, releases, work backlogs, audits, compliance efforts, KPIs, and delivery schedules across security and engineering teams. The role improves scalable processes, communicates initiative status, supports risk reduction, applies AI tools to increase workflow efficiency, and helps establish a security program-management community of practice.
Top Skills: AgileAi ToolingConfluenceJIRATableau
One Month Ago
Easy Apply
Remote or Hybrid
Easy Apply
350K-350K Annually
Senior level
350K-350K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Sell AI products to complex, high-value accounts, architecting deals that align product value with customer use cases and ensuring customer success.
Top Skills: Ai Products
Yesterday
In-Office or Remote
207K-285K Annually
Senior level
207K-285K Annually
Senior level
Healthtech • Biotech
Leads customer success strategy and execution for a North American laboratory solutions business. Responsibilities include managing a high-performing team, improving customer retention and loyalty, driving solution adoption and value realization, reducing churn and escalations, strengthening executive relationships, and using customer analytics to improve outcomes. The role partners cross-functionally with Sales, Service, Marketing, Supply Chain, R&D, and Finance to deliver customer growth and operational excellence.

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account