
Machine Learning Engineer, Public Sector
About this role
Role Overview
The Machine Learning Engineer, Public Sector role at Scale AI involves deploying advanced generative AI, computer vision, and large language models into mission-critical government systems across Denver, Honolulu, and Washington, DC. This position suits engineering professionals with a solid background in applied machine learning who want to build solutions for complex operational and planning challenges.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
The base salary range for the full-time Washington, DC position is $196,000 to $245,000 USD, with ranges varying by location and career level. Eligible employees receive equity-based compensation subject to board approval. Comprehensive benefits include medical, dental, and vision coverage, retirement benefits, a learning and development stipend, generous paid time off, and a potential commuter stipend.
About the Company
Scale AI focuses on developing reliable artificial intelligence systems for major decisions by providing high-quality data and full-stack technologies. The company collaborates with prominent industry leaders and government agencies, including the U.S. Army and Air Force, to help build and deploy impactful AI applications. Scale AI operates as an inclusive, equal opportunity workplace dedicated to diversity and reasonable accommodations.
How to Apply
Interested candidates should visit the official Scale AI careers page to submit an application for the Machine Learning Engineer, Public Sector role.
Skills and tech stack
Questions candidates ask
What locations are eligible for this role?
This position is based in Denver, CO; Honolulu, HI; or Washington, DC.
What security clearance is required?
An active TS security clearance is required for this position.
What is the salary range for the Washington, DC location?
The base salary range for the full-time position in Washington, DC is $196,000 to $245,000 USD.
What technical skills are necessary?
Candidates need strong programming skills in Python, experience with PyTorch or TensorFlow, and a solid background in algorithms, data structures, and applied machine learning.
Is travel required for this job?
Yes, the role requires light travel of approximately 10% for customer interactions and team needs.