Staff Machine Learning Engineer
Databricks · Engineering - Pipeline
- Location
- San Francisco, California
- Metro
- San Francisco Bay Area
- Workplace
- Unspecified
- Level
- Staff+
- Type
- Unspecified
- Pay
- $190K–$285K/yr (estimated from posting text)
- Posted
- 9 months ago
- Source
- Greenhouse
Read the full posting & apply ↗
PythonSQLPyTorchTensorFlowLLMs
What the posting covers
About the company
P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant, AI/BI Genie, and Agent Bricks working with product teams, and made significant strides in LLM quality…
Key Responsibilities
Shape the direction of our applied AI areas and intelligence features in our products. Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services…
What We’re Looking For
2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification. Strong track record of working with…
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation…
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps,…
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on…
Excerpts only. The employer’s page has the complete posting.