Applications Programmer
UC Berkeley Institute for Data Science
Berkeley, CA, USA
Job Title
Applications ProgrammerJob Description
We are engineers and developers who work closely with journalists, researchers, students, and faculty. We utilize cutting edge LLM techniques to enable data extraction at scale. We are a small team, providing plenty of immediate opportunities to have an impact and make a difference. We work with researchers and PHD candidates at UC Berkeley to support their research projects around information science problems related to information extraction. Though this position is at UC Berkeley, it is not an academic position and does not involve teaching or classroom work.
You will be an integral part of our team, working closely with our tech lead, focused on maintaining and improving the information extraction software we are actively developing and in continual use by our data production teams.
Restrictions
- Telecommuting is OK
- No Agencies Please
Requirements
- Advanced knowledge of open-source software development.
- Experience with software development in Python
- Experience working with existing software projects
- Experience using LLMs and machine learning to extract structured data from unstructured sources
- Experience writing data transformation code
- Experience working with cloud infrastructure and engineering scalable solutions to data problems
- Experience with software testing, including test frameworks
- Experience with version control and git
- Experience with issue-tracking and project management tools
About the Company
The California Law Enforcement Accountability Network (CLEAN) is groundbreaking work to create a state-wide database detailing police misconduct and use-of-force incidents. Supported with an initial $6.87 million allocation from California's 2023-24 budget, this endeavor responds to legislative mandates (SB-16, SB-1421) demanding transparency in policing. The Berkeley Institute for Data Science (BIDS) has partnered with the Investigative Reporting Program (IRP) at UC Berkeley, and Big Local News (BLN) at Stanford University, to help request, download, and process records about police misconduct and use-of-force that are now public.