P-984

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.

Summary:

We are seeking top-tier Machine Learning Engineers to lead the charge in empowering businesses to deploy LLMs and advanced generative models in production. Your role will involve building and sustaining Mosaic’s ML Runtime, which enables customers to harness their unique data to develop models with optimal quality, performance, and cost. You will contribute to MosaicML’s open-source initiatives, sharing MosaicML’s innovations with the community, and tackle multifaceted challenges across the machine learning stack, from kernels and software to algorithms and new state of the art models.

You will:

• Design and implement tooling and open source technologies to enable the development of automated ML pipelines for data preprocessing, model training, hyperparameter tuning, and model evaluation for Databricks' customers.
• Design and implement robust, scalable ML infrastructure and model serving components, to support seamless integration of AI/ML models into customer production environments.
• Implement advanced optimization techniques to reduce the resource footprint of models while preserving their performance and balancing usability for our developers and customers.
• Collaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps.
• Facilitate our user community through documentation, talks, tutorials, and collaborations.
• Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader.

We look for:

• 4+ years of full time industry experience
• Experience with deep learning frameworks (e.g. PyTorch, TensorFlow)
• Experience with GPUs (e.g., Nvidia, AMD) and alternative deep learning accelerators
• Strong sense of design and usability
• Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders.
• Prior history of contributing to or developing open source projects is a bonus but not a requirement

We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.