Effective communication skills, Generative AI, Kubernetes-K8s, Large Language Models - LLMs, Machine learning techniques
Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI 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 Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Mosaic AI 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:
Mosaic AI is hiring experienced machine learning platform engineers to build out our generative AI platform for the ML model development lifecycle including pre-training of large language models (LLMs), fine-tuning, evaluation, and serving. You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces. In this role, you will have the opportunity to contribute to all areas of our stack such as our CLI and SDK interfaces, backend APIs, distributed orchestration systems built on Kubernetes, and core platform infrastructure to support our product.
You will:
We look for:
We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$166,000—$225,000 USD
Databricks is an American enterprise software company founded by the creators of Apache Spark. Databricks develops a web-based platform for working with Spark, that provides automated cluster management and IPython-style notebooks. Databricks grew out of the AMPLab project at University of California, Berkeley that was involved in making Apache Spark, an open-source distributed computing framework built atop Scala.
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Mumbai, Maharashtra, India
6-8 year
United States
6-8 year
United States
6-8 year
United States
6-8 year
United States
6-8 year
Washington D.C., DC, USA
6-8 year
Los Angeles, CA, USA; Portland, OR, USA; Sacramento, CA, USA; San Diego, CA, USA; San Francisco, CA, USA; San Jose, CA, USA; Seattle, WA, USA
4-6 year
San Francisco, CA, USA
8-10 year
San Francisco, CA, USA
0-2 year
Bengaluru, Karnataka, India
2-4 year
Bengaluru, Karnataka, India
2-4 year
Amsterdam, Netherlands
0-2 year