Genai Machine Learning Engineer Intern

Company Description:

Founded in late 2020 by a small group of machine learning engineers and researchers, MosaicML enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the MosaicML platform provides maximum flexibility for AI development. Introduced in 2023, MosaicML’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. MosaicML is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Now part of Databricks since July 2023, we are passionate about enabling our customers to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI platform so our customers can use deep data insights to improve their business. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.

Job Description

MosaicML is hiring software engineering interns to help build our cloud platform for GenAI  training and inference. You will contribute to the development of our machine learning platform across the stack, be mentored by experienced software engineers and ML engineers, and get exposure to cutting edge AI as well as to the culture and methodologies of silicon valley.

Minimum qualifications:

• Currently pursuing a Bachelor’s, Master’s or PhD degree in Computer Science, or a related technical field.
• Experience with coding in Python, JavaScript, Golang, C, C++ or another relevant programming language.
• Experience working in Unix/Linux environments.

• Experience with data structures, algorithms, and software design.

Preferred qualifications:

• Deep learning knowledge and experience.
• Ability to work on projects related to one or more of the following: cloud-native applications, distributed systems, web-based applications.