About the company
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
Responsibilities
- 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.
Requirements
- 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.
Conditions
- Benefits: comprehensive benefits and perks