Deep Learning Research Intern

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

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

You Have

• Pursuing degree in Computer Science, Electrical Engineering, Math, Statistics or related technical field, and graduating between May 2026 and May 2027.
• 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

Technologies We Use and Teach

• Python
• NumPy
• Pytorch and JAX

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.