Company Description
Founded in July 2021, TBD is one of Block's four business units, alongside Square, Cash App, and Tidal. At TBD, we believe in a decentralized future that returns ownership and control over your finances, data, and identity. Guided by this vision, TBD is building an open source platform and developer infrastructure that enables everyone to access and participate in the global economy.
TBD is inviting the world to join us in building and adopting open and decentralized technologies that solve real problems for real people - from next generation infrastructure that lowers the cost of global payments and enables frictionless commerce, to decentralized identity technologies that enable anyone to access and participate in the global economy. Our mission advances economic empowerment through the power of decentralized solutions, built open source and collaboratively.
The offerings we build will provide developers, institutions, and individuals with the capabilities needed to build the next wave of innovative apps and services, and access this decentralized future. We're leveraging bitcoin and other decentralized technologies to reinvent the global financial system in an open and permissionless way to further Block's mission of economic empowerment, with a global focus.
Job Description
Dessa specializes in audacious deep learning moonshots at Block. We choose projects that are impactful and transformative, not projects that are incremental improvements over the status quo. We have a strong focus on open source and are committed to sharing our work. Our mission is to push the boundaries of what's possible with AI in order to benefit humanity.
We are seeking a Deep Learning Research Engineer Intern who is passionate about expanding the limits of deep learning capabilities. As a Research Engineer Intern at Dessa, you will help create novel deep learning systems with the capability to perform tasks that were once considered unattainable. You will be fully remote and report into our Dessa AI Research Lead.
You Will:

• Work with Research Scientists and Engineers to help design and develop novel generative AI models and systems
• Contribute to ideas to improve existing deep learning systems
• Develop software to process, clean, evaluate data to train deep learning systems
• Learn foundational deep learning and catch up to the latest in deep learning research

Qualifications
You Have:

• Pursuing degree in Computer Science, Electrical Engineering, Math, Statistics or related technical field, and graduating between May 2025 and May 2026.
• A passion for deep learning
• Proficiency with Python
• An understanding of general data manipulation
• Command of probability and statistics
• Experience with rapid prototyping using public, open-source libraries and APIs
• A capacity to create order out of chaos and work on problems without clear-cut solutions
• Openness and enthusiasm towards working with a diverse group of people

We are excited about individuals who have:

• A foundational understanding of deep learning
• Hands-on experience in developing and training neural networks using frameworks such as PyTorch, JAX or TensorFlow
• Experience training generative models like LLMs, or image/audio generation

Qualifications
You Have:

• Pursuing degree in Computer Science, Electrical Engineering, Math, Statistics or related technical field, and graduating between May 2025 and May 2026.
• A passion for deep learning
• Proficiency with Python
• An understanding of general data manipulation
• Command of probability and statistics
• Experience with rapid prototyping using public, open-source libraries and APIs
• A capacity to create order out of chaos and work on problems without clear-cut solutions
• Openness and enthusiasm towards working with a diverse group of people

We are excited about individuals who have:

• A foundational understanding of deep learning
• Hands-on experience in developing and training neural networks using frameworks such as PyTorch, JAX or TensorFlow
• Experience training generative models like LLMs, or image/audio generation