Scale AI · 1 month ago
Machine Learning Engineer, Public Sector
Washington, DC
Full-time
Onsite
Mid, Senior Level
$208K/yr - $300K/yrScaleAI is dedicated to developing reliable AI systems for critical decision-making. The Machine Learning Engineer will leverage advanced techniques in generative AI, computer vision, and reinforcement learning to enhance products and improve customer experience, particularly within mission-critical government systems.
AI InfrastructureArtificial Intelligence (AI)Data Collection and LabelingGenerative AIImage RecognitionMachine Learning
No H1B
Security Clearance Required
Responsibilities
Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific products
Build scalable machine learning infrastructure to automate and optimize our ML services
Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
Qualification
Required
Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment
Solid background in algorithms, data structures, and object-oriented programming
Strong programming skills in Python, experience in Tensorflow or PyTorch
This role will require an active security clearance or the ability to obtain a security clearance
Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific products
Build scalable machine learning infrastructure to automate and optimize our ML services
Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations
Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
Preferred
Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
Experience with computer vision, generative AI models, large language models, or agentic systems
Familiarity with ML evaluation frameworks and agentic model design
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
2026-01-16
CB Insights
2026-01-09
Crunchbase News
2026-01-07
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