GenAI Machine Learning Engineer Intern

Company Description:

Established in late 2020 by a small team of machine learning engineers and researchers, MosaicML allows companies to securely fine-tune, train and deploy tailored AI models on their own data, ensuring maximum security and control. Compatible with all major cloud providers, the MosaicML platform delivers maximum flexibility for AI development. Introduced in 2023, MosaicML’s pretrained transformer models have set a new standard for commercially usable, open source LLMs and have been downloaded more than 3 million times. MosaicML holds the conviction that a company’s AI models are as valuable as any other core IP, and that top-notch AI models should be accessible to everyone.

Now a part of Databricks since July 2023, we are dedicated to enabling our customers to tackle the world's most difficult problems — from bringing the next mode of transportation into existence to speeding up the development of medical breakthroughs. This is achieved by building and operating the world's finest data and AI platform, enabling our customers to utilize deep data insights to enhance their business. We seize every chance to overcome technical obstacles, aiming to equip our customers with the best data and AI capabilities.

Job Description

MosaicML is seeking to hire software engineering interns to assist in building our cloud platform for GenAI  training and inference. You will contribute to the advancement of our machine learning platform across the stack, receive mentorship from seasoned software engineers and ML engineers, and gain exposure to forefront AI as well as to the culture and methodologies of Silicon Valley.

Minimum qualifications:

• Pursuing a Bachelor's, Master's, or PhD degree in Computer Science, or a similar technical field.
• Experience in programming in Python, JavaScript, Golang, C, C++ or any other relevant programming language.
• Experience working in Unix/Linux operating systems environments.
• Knowledge and experience with data structures, algorithms, and software design.

Preferred qualifications:

• Deep understanding and experience with machine learning.
• Ability to contribute to projects related to one or more of the following: cloud-native applications, distributed systems, web-based applications.

Pay Range Transparency

Databricks is dedicated to fair and equitable compensation practices. The pay range(s) for this role is provided below and represents the base salary range for non-commission roles or on-target earnings for commissionable roles. The actual compensation packages are determined by several factors unique to each candidate, including but not limited to job-related skills, experience levels, relevant certifications and training, as well as specific job locations. Based on the factors above, Databricks utilizes the full breadth of the range. The total compensation package for this position may also include eligibility for an annual performance bonus, equity, and the benefits listed above. For more information about which range your location falls into, visit our page here.