Senior Applied AI Engineer

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, forecasting, and recommendations, either classic...

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.

2-8 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.
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.
Nice to have: experience deploying, scaling, and monitoring models in production; understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments.