Scale AI · 5 hours ago
Machine Learning Engineer - Model Evaluations, Public Sector
Washington, DC
Full-time
Onsite
Mid, Senior Level
$208K/yr - $300K/yrScale AI is a company focused on developing reliable AI systems for critical decision-making in the public sector. The role of Machine Learning Engineer involves designing, implementing, and scaling automated evaluation pipelines for advanced AI systems used in defense, intelligence, and federal missions.
Artificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations
Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes
Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing
Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes
Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems
Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases
Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets
Qualification
Required
Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations
Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes
Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing
Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes
Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems
Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases
Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets
This role will require an active security clearance or the ability to obtain a security clearance
Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings
Strong programming skills in Python; experience with TensorFlow or PyTorch
Background in algorithms, data structures, and object-oriented programming
Experience with LLM pipelines, simulation environments, or automated evaluation systems
Ability to convert research insights into measurable evaluation criteria
Preferred
Graduate degree in CS, ML, or AI
Cloud experience (AWS, GCP) and model deployment experience
Experience with LLM evaluation, CV robustness, or RL validation
Knowledge of interpretability, adversarial robustness, or AI safety frameworks
Familiarity with ML evaluation frameworks and agentic model design
Experience in regulated, classified, or mission-critical ML domains
Benefits
Comprehensive health, dental and vision coverage
Retirement benefits
A learning and development stipend
Generous PTO
A commuter stipend
Company
Scale AI
Scale’s mission is to develop reliable AI systems for the world’s most important decisions.
Founded in 2016
501-1000 employees
Funding
Current Stage
Late StageTotal Funding
$15.9BKey Investors
MetaAccelTiger Global Management
2025-06-10Corporate Round· $14.3B
2025-06-04Series Unknown
2024-05-21Series F· $1B
Leadership Team
Jason Droege
Interim Chief Executive Officer
Dennis Cinelli
Chief Financial Officer
Recent News
2025-12-31
Investing.com
2025-12-30
Company data provided by crunchbase