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Legal Software Engineer
Confirmed live in the last 24 hours
Menlo Park, CA, USA
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
  • Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science
  • Ability to design, implement, and scale intuitive compliance-enhancing products for diverse user groups
  • Familiarity with data structures, storage systems, front-end frameworks, and/or other technical tools
  • Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar
  • Ability to navigate complex situations and interact with many different people and viewpoints, working to establish and build relationships with key partners
  • Ability to continuously learn, work independently, and make decisions with minimal direction
  • Experience in any of the following domains a plus: security, machine learning techniques, machine learning driven applications, machine learning infrastructure and/or internet of things
  • Develop an understanding and sophistication around Palantir's commercial product offerings in order to leverage products effectively for our own business purposes
  • Apply strong engineering and communication skills to develop technical solutions to abstract legal and compliance challenges, in collaboration with Palantir's legal team, data protection team, compliance team, and other internal stakeholders
  • Develop and test new technologies and products for ultimate use by Palantir customers in the field
  • Deploy data assets and technologies effectively throughout your problem solving
  • Collaborate across multiple internal technical and non-technical teams in order to develop and implement data-driven workflows to help grow Palantir's business in compliance with applicable laws and regulations

1,001-5,000 employees

Software for human-driven analysis of real-world data
Company Overview
Palantir is committed to helping organizations get value out of their data while protecting sensitive information from misuse and abuse.
  • Transparency
  • Take-What-You-Need Time Off Policy
  • Family Support
  • Community
  • Equity
  • Mental Health and Wellbeing
  • Healthcare