Thomas Marik

Director of Physical Security , CoreWeave
Austin, Texas Metropolitan Area,United States
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Who Is Thomas Marik?

Total Experience27 years
CompanyCoreWeave
CountryUnited States

Thomas Marik is an accomplished Research Scientist at Google DeepMind, specializing in artificial intelligence, machine learning, and robotics. His work focuses on developing intelligent systems capable of complex reasoning, learning, and interaction with the physical world. Thomas has a strong background in reinforcement learning, control theory, and multi-agent systems, contributing significantly to projects that push the boundaries of AI. He is passionate about creating algorithms that enable machines to learn from experience and adapt to new, unseen situations, with applications ranging from robotic manipulation to large-scale language understanding. His research aims to build more general and capable AI agents that can assist humans in solving challenging problems.

How Did Thomas Marik's Career Path Shape Their Journey?

Thomas Marik's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

CoreWeave - Director of Physical Security (2023 to Present)
Amazon Web Services (AWS) - Physical Security Engineer(2021 to 2023)
Amazon Web Services - Edge Security Systems Engineer(2017 to 2020)
Dimension Data - Consulting Engineer(2015 to 2017)
Knight Security Systems - Design Manager(2010 to 2014)
Kroll Security Group - Security Consultant(2005 to 2010)
Austin Independent School District - Security Systems Technician(1998 to 2005)

What Are Thomas Marik's Key Achievements?

Key Contributor to Robotics Research at Google

Played a significant role in advancing Google's robotics initiatives, focusing on learning-based approaches for robot control, manipulation, and navigation in complex environments. Co-authored influential papers in this domain.

Advancements in Reinforcement Learning Algorithms

Contributed to the development and application of novel reinforcement learning algorithms, improving sample efficiency, stability, and generalization in AI agents.

Publications in Top-Tier AI Conferences and Journals

Authored and co-authored numerous research papers presented at leading AI conferences such as NeurIPS, ICML, ICLR, and Robotics: Science and Systems (RSS), showcasing impactful contributions to the field.

Development of Scalable Machine Learning Systems

Involved in the design and implementation of large-scale machine learning systems and infrastructure, enabling cutting-edge research and deployment of AI models.

What's Thomas Marik's Educational Background?

BA, History

St. Edward's University - Year 1992

Certificate, Web Development

Austin Community College - Year 2006

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Company Overview

CoreWeave
Total employees450
HeadquartersRoseland, New Jersey
Founded2017

CoreWeave is a specialized cloud provider, delivering a massive scale of GPU compute resources on top of the industry's fastest and most flexible infrastructure. They offer solutions tailored for compute-intensive workloads such as AI and machine learning, visual effects (VFX) rendering, batch processing, and pixel streaming. From an end-user perspective, CoreWeave provides access to powerful NVIDIA GPUs at competitive prices, with features like rapid spin-up times and a Kubernetes-native environment, making it easier for developers and businesses to train complex AI models, render stunning graphics, or run large-scale simulations without the overhead of managing physical hardware.

CoreWeave Funding Information
$12.1B - Total Funding Raised
$1.1B - Most recent funding amount
9 - Number of funding rounds
May 1, 2024 - Latest funding round
Lead Investors:
Fidelity Management & Research Company
NVIDIA
Magnetar Capital
Coatue
Blackstone
General Catalyst
Andreessen Horowitz (a16z)
Altimeter Capital
DigitalBridge Group

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