Palantir Engineer, Lead

Booz Allen Hamilton•Springfield, VA

23h•Remote

About The Position

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support mission-critical projects for our DoD clients. As a senior machine learning engineer on our core Palantir team, you’ll train, test, deploy, and maintain models that learn from data. In this role, you’ll lead the direction of mission-critical solutions by applying best-fit ML algorithms and introducing leading-edge technologies. You’ll share your knowledge with a large community of machine learning engineers across the company and collaborate with key stakeholders, data engineers, developers and data consumers that deliver world class solutions to develop scalable data pipelines, build robust applications, and integrate various data sources to drive impactful decision-making. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. As an AI and ML Engineer on our National Security team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, you’ll also advise your client on what the information means and how it can be used to make an impact on the tasking of national, commercial, and emerging assets. Work with us to solve real-world challenges and define ML strategy for our DoD clients. Join us. The world can’t wait.

Requirements

5+ years of experience in data operations such as data science, data engineering, and data platforms, AI and ML, or software development
3+ years of experience in a facet of Palantir, including data modeling, ontology mapping, or data visualization
3+ years of experience with Python or TypeScript
3+ years of experience with Pipeline Builder, AIP, and Foundry's application development ecosystems
Ability to work in a fast-paced, Agile environment
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor's degree

Nice To Haves

Experience working with various teams within the Department of Defense
Experience working Databricks
Experience working in mission-oriented analytics or logistics-based data environments
Experience with Git-based code repositories and CI/CD workflows
Knowledge of GEOINT collection and associated systems
Knowledge of working with Maven Smart Systems, including AIP
Knowledge of DevSecOps best practices and software lifecycle methodologies
Possession of excellent problem-solving skills
TS/SCI clearance with a polygraph

Responsibilities

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 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.
Work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle.
Provide a deep understanding of client data.
Advise clients on what the information means and how it can be used to make an impact on the tasking of national, commercial, and emerging assets.
Define ML strategy for DoD clients.