train, test, deploy, and maintain models that learn from data
lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies
share knowledge with a large community of machine learning engineers across the company
collaborate with key stakeholders, data engineers, developers, and data consumers to deliver world-class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making
guide clients as they navigate the landscape of ML algorithms, tools, and frameworks
Requirements
4+ years of experience in data operations such as data science, data engineering, data platforms, AI, ML, or software development
2+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization
2+ years of experience with Python or TypeScript
2+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems
Ability to work in a fast-paced, Agile environment
Ability to travel up to 20% of the time
Secret clearance
Bachelor's degree
Benefits
health, life, disability, financial, and retirement benefits
paid leave
professional development
tuition assistance
work-life programs
dependent care
recognition awards program acknowledges employees for exceptional performance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.