The impact you will have:
- Serve as the trusted advisor/owner of machine learning enablement at Databricks
- Provide technical leadership to guide curriculum initiatives on machine learning
- Work with subject-matter-experts and learning architects to scope and build machine learning enablement material to enable our global customers, partners, and employees
What we look for:
- Passion/experience for sharing knowledge and expertise to enable others
- 3+ years of hands-on industry ML experience in at least one of the following:
- ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
- Data Scientist: Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
- Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- Passion for collaboration, life-long learning, and driving business value through ML
- [Preferred] Experience working with Apache Spark to process large-scale distributed databases
Benefits:
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
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