Job Details

AI/ML Engineer

Zachary Piper Solutions is seeking highly skilled and motivated AI/ML Engineers to join a dynamic Federal AI Engineering Team (GenAI/Public Sector). In this role, you will help deliver high-impact, AI-powered mission solutions for government customers. You'll work with scalable, high-performance platforms designed to handle billions of data points, contributing to backend systems, distributed architectures, and machine learning infrastructure in secure environments.

Hybrid Remote (30% - 50%): Washington, DC; San Francisco, CA; St. Louis, MO; Honolulu, Hawaii

Responsibilities:

• Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings.

Qualifications:

• Must possess an active TS/SCI clearance (can hold up to TS/SCI FSP)
• Strong programming skills in Python
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
• Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes)
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources.
• Understanding of data modeling, data warehousing, and data governance principles
• Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding model serving, monitoring, and deployment strategies is beneficial

Compensation:

$190,000 - $290,000 (Based on years of relevant experience)

Benefits:

Comprehensive benefits package including medical, dental, vision, 401k, 20+ paid time off, 11 federal holidays, and sick leave.