Learn AI & prompt engineering – Enroll now

Paperspace is hiring a Advanced Technologies Group Research Fellowship

Post an AI job

Advanced Technologies Group Research Fellowship

Paperspace  ·  New York City, United States
3 months ago

43 applicants

About Paperspace

Paperspace is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use Paperspace to iterate faster and collaborate on intelligent, real-time prediction engines.

Paperspace is backed by leading investors including Battery Ventures, Intel Capital, SineWave Ventures, Sorenson Ventures, Y Combinator and Initialized Capital.

Paperspace Advanced Technologies Group

Paperspace ATG is the internal R&D arm of Paperspace and is tasked with exploring advanced topics in machine learning/deep learning, data engineering, UI/UX for developing intelligent applications, and AI education/accessibility.

The Research Fellowship is a 10-15 week paid program that is designed to bring in Graduate and post-Graduate students from a wide variety of disciplines who want to apply their passion for research in a practical setting.

The ATG accepts fellows on a rolling basis. Research fellows are paired with a Paperspace engineer to advance and document their research project.

Research Areas

The ATG is currently engaged in the following active areas of research. Not all projects fall directly under any single area but generally, these areas encompass the types of projects that we would like to foster and support.

  • Deep Tech - This research track is designed to push the limit of current machine learning algorithms, applications, or foundational knowledge. Past fellows have taken on GPU kernel development, adversarial auto-encoders, auto-ml parameter space exploration strategies, and other advanced topics in the deep learning field.
  • Tooling / Interfaces - This research track is designed to push the boundaries of what is possible with ML interfaces (GUI, CLI, and others). Topics such as experiment tracking, visualization techniques, new distributed training architectures, and novel ways of modeling complex data and interactions fall under the scope of this research area. Past fellows have worked on making pre-trained deep learning models more accessible to a broader audience through new abstractions and interfaces.  Model optimization for various inference architectures and device constraints is also an area of interest.
  • Education / Accessibility - This research track is designed to expand the accessibility of existing ML and deep learning techniques through education and advocacy. As more and more advanced topics come from academia, there exists a growing divide between experts and novices. Furthermore, what are the best ways to open up deep learning to new audiences and users, not just domain experts? Questions of fairness, bias, explanation, openness are at the center of this conversation.

If you have any additional questions, you can reach out to [email protected] 

We are an equal opportunity employer that values and welcomes diversity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Apply for this job

Please mention you found the job through PromptHero! It'll help us get more companies to post here. Thanks!

Beware of job scams! You should never have to pay to apply for a job, buy equipment, or pay for trainings. If a job demands you ANY money, it's a scam. If a post looks like a "how to work online" page, it's probably a scam. Also, make sure you're talking to the real company by checking their website or email domain. Online work scams are everywhere, so be careful! By clicking on the apply button, you'll leave PromptHero and go to the company's application page. PromptHero accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here. Stay sharp and good luck!