Career Spotlight: Tower’s Global Head of Core AI & ML on AI, Research, and More

Ramit, our Global Head of Core AI and ML, discusses his journey at Tower, his contributions to academic research, and Tower’s forward-looking approach to leveraging AI.

Q1: Tell us more about your career journey and experiences at Tower.

My journey at Tower has been rich with learning, collaboration, and continuous improvement as I navigate new challenges across various business and technological domains. Throughout my tenure, I’ve embraced a variety of roles, from individual contributor to people manager to now leading the Core AI and ML function. This journey has involved acquiring new skills and tackling diverse challenges, particularly in solving complex engineering and business problems.

Q2: You’ve been an active contributor to AI and ML research. Can you tell us more about your academic research and how you got into this field?

My AI and ML journey goes back about nine years, back when the technology wasn’t nearly as advanced as it is today. An academic project introduced me to the world of deep neural networks and natural language processing, and my personal interest in using deep learning models for trading card games propelled my foray into the world of AI. My research has focused on time series models, graph neural networks, and natural language processing. Over the years, I’ve been fortunate to contribute to academic and open-source deep learning projects and conferences. Being part of this dynamic, collaborative, and constantly evolving community keeps me motivated, while the opportunity to apply what I learn to real-world large-scale complex matters at Tower makes for the perfect balance.

Q3: What are some key areas in the AI and ML field to look out for, and how do you see the field evolving?

We’re witnessing a rapid evolution of AI and ML systems that is changing how we all do things. Key topics such as transformer architectures, large-scale sequence models, large language models, geometrical deep learning, secure and differentially private models, and accelerated optimized compute are propelling the field forward. I eagerly anticipate the future advancements these technologies will bring. Tower is always seeking talented individuals who are passionate about these areas. If you’re interested, we’d love to hear from you!