Senior AI/ML Engineer

📋 Job Overview

About Obviant

The defense market is surging, but the data that drives it hasn't kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make critical decisions for national security.

Obviant is building the data source of truth to power the entire defense acquisition system. We fuse information from thousands of sources (structured and unstructured) to provide a cohesive picture of budget, programs, the organizations running them, and much more. We're growing quickly on the back of strong customer satisfaction at top-tier accounts, backed by leading venture funds, and advised by veterans from national security and the technology industry.

🏢 About Obviant

At Obviant, you'll build the ML systems that turn sprawling, unstructured defense and government data into a knowledge graph our customers can actually reason over. As an AI/ML Engineer, you'll own problems end to end — designing transformer-based extraction and entity-resolution pipelines, adapting language models to a specialized domain, and helping shape the ontology that underpins the product. You'll work on a small team where your decisions show up in the product within weeks, alongside engineers and domain experts who know the mission cold. We care less about buzzword coverage than about people who can take an ambiguous, messy problem and make it rigorous and shippable.

🎯 The Role

You’ll design and implement models tackling complex, domain-specific challenges in taxonomy extraction/generation, entity resolution, and pattern recognition

Develop multi-class classification systems

Knowledge graph construction and analysis

Work on Natural Language Processing and semantic understanding problems such as topic modeling

Tackle document clustering, classification, and summarization problems

Build and optimize robust data pipelines that process mission-critical information at scale

✅ Key Responsibilities

• Design and implement models tackling complex, domain-specific challenges in taxonomy extraction/generation, entity resolution, and pattern recognition
• Develop multi-class classification systems
• Knowledge graph construction and analysis
• Work on Natural Language Processing and semantic understanding problems such as topic modeling
• Tackle document clustering, classification, and summarization problems
• Build and optimize robust data pipelines that process mission-critical information at scale

📌 Required Qualifications

• 8+ years of experience building and deploying ML models in production environments
• Strong background in machine learning and deep learning methodologies
• Demonstrated experience in applied research and development
• Track record of turning complex requirements into elegant, scalable solutions
• Experience with NLP, semantic retrieval, or large language models
• Experience working with large-scale datasets and complex data pipelines
• Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Comfortable with the pace and impact of a fast-growing startup
• Has led, deployed and maintained AI and ML infrastructure and products into multiple disparate environments

⭐ Desirable Experience

• National security, govtech, or defense experience is welcome but not required
• Prior experience at a defense-focused data, analytics, or intelligence platform

🎁 Benefits

Competitive base salary commensurate with experience

Equity stake in a well-funded, fast-growing company

Health, dental, and vision coverage

Flexible schedule and vacation time

In-office culture headquartered in Arlington, VA, with flexibility when you need it