Raft · 2 days ago
Principal Machine Learning (ML) Engineer
United States
Full-time
Hybrid
Lead/StaffRaft is a leading defense technology company dedicated to empowering the U.S. military and government agencies with cutting-edge AI/ML and data solutions. They are seeking an experienced Principal Machine Learning Engineer to support customers by designing, planning, implementing, and guiding enterprise AI/ML strategies.
Computer Software
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Demonstrated ability to introduce new technology into organizations to further their ability to drive value from data using AI/ML
Experience building agentic workflows with tool calling, Model Context Protocol (MCP) implementations, and multi-step reasoning systems
Deep understanding of transformer architectures and common frameworks like vLLM, Pytorch, Tensorflow
Design, develop, and research Machine Learning systems, models, and schemes
Study, transform, and convert data science prototypes into production-ready systems
Search and select appropriate data sets before performing data collection and data modeling
Perform statistical analysis and use results to improve models
Train and retrain ML systems and models as needed
Identify differences in data distribution that could affect model performance in real-world situations
Visualize data for deeper insights
Analyze use cases of ML algorithms and rank them by success probability
Understand when findings can be applied to business decisions
Enrich existing ML frameworks and libraries
Experience deploying ML services in secure environments with constrained resources
Verify data quality and ensure it via data cleaning
Qualification
Required
Demonstrated ability to introduce new technology into organizations to further their ability to drive value from data using AI/ML
Experience building agentic workflows with tool calling, Model Context Protocol (MCP) implementations, and multi-step reasoning systems
Deep understanding of transformer architectures and common frameworks like vLLM, Pytorch, Tensorflow
Design, develop, and research Machine Learning systems, models, and schemes
Study, transform, and convert data science prototypes into production-ready systems
Search and select appropriate data sets before performing data collection and data modeling
Perform statistical analysis and use results to improve models
Train and retrain ML systems and models as needed
Identify differences in data distribution that could affect model performance in real-world situations
Visualize data for deeper insights
Analyze use cases of ML algorithms and rank them by success probability
Understand when findings can be applied to business decisions
Enrich existing ML frameworks and libraries
Experience deploying ML services in secure environments with constrained resources
Verify data quality and ensure it via data cleaning
Ability to obtain and maintain a Top Secret Security Clearance
Preferred
Experience with edge AI and autonomous data fusion systems
Familiarity with defense and national security applications
Experience with browser-based geospatial visualization libraries (e.g., Leaflet, OpenLayers, Mapbox)
Benefits
Fully covered healthcare, dental, and vision coverage
401(k) and company match
Take as you need PTO + 11 paid holidays
Education & training benefits
Annual budget for your tech needs
Generous Referral Bonuses
And More!
Company
Raft
A niche consulting organization focused on Cloud Native, DevSecOps, and Modern Application Development for mission focused enterprises
Founded in 2018
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
$60MKey Investors
Washington Harbour Partners
2024-04-10Private Equity· $60M
Leadership Team
Mark Procaccini
Chief Operating Officer and Board Officer
Danielle McCoy
CPO
Recent News
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