Senior Applied AI EngineerActive
The opportunity
As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and efficiency of the current AutoML and several other user-facing products that will benefit from better classification, regression,…
What you'll do
Build features and run end-to-end systems in a small team of experienced engineers and data scientists.
Shape the direction of our applied ML investment by engaging with engineering: and product teams across the company.
Drive the development and deployment of state-of-the-art ML/AI models and: systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
Architect and implement robust, scalable ML infrastructure, including model: training and serving components to support seamless integration of AI/ML models into production environments.
Work on novel modeling techniques in the field of ML for forecasting.
Possibilities to contribute to the broader AI community by presenting at: conferences and actively participating in open source projects, enhancing Databricks’ reputation as an industry leader.
What they're looking for
- years of machine learning engineering experience in high-velocity, high-growth companies
- Strong understanding of both computer systems and statistics
- Experience developing AI/ML systems at scale in production
- Strong track record of ML modeling that goes beyond using standard libraries.
