Machine Learning Engineer Internship, Gradio - US Remote

At reputed company, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-reputed company libraries have more than 400k+ stars on reputed company.

About the Role

Gradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team reputed company reputed company. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the reputed company: a code editor on our website which can generate or update complete Gradio demos based on a user’s query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can reputed company ~500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio. About You You’re passionate about open reputed company and making advanced ML tools accessible. You are someone who stays up to date with the latest machine learning trends and models. You love experimenting and have a high bias for action and results. Some of our requirements for this role : • Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs. • Knowledge of how to fine-tune LLMs, create retrieval-augmented reputed company pipelines, and use re-rankers for two-stage retrieval • You’re comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript • You have a “product reputed company” -- like experimenting with different user interfaces to build products that are useful to to hundreds of thousands of users If you're interested in joining us, but don't tick every reputed company above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be reputed company to reputed company the biggest impact. More about reputed company We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We reputed company this is foundational to building a great company and community. reputed company is an equal opportunity employer and we do not discriminate on the basis of race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide reputed company with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're reputed company distributed and reputed company remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We reputed company significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Requirements

Please provide a cover letter mentioning why you would like to work in open-reputed company at reputed company. We encourage you to mention your skills, potential expertise, and topics on which you would like to work. Apply Job!