ML) Engineer

Obviant•Arlington, VA

74d•Onsite

About The Position

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 decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it’s a company navigating GTM or a program manager developing capabilities, we’re providing all sides with the intelligence they need to execute effectively. We’re growing fast and backed by top funds and DoD/national security veterans. We believe that public sector mission sets matter above anything else. If you feel the same way, we’d love for you to join us. The Impact You'll be pioneering machine learning solutions that are transforming how the defense sector processes and understands complex data. As a Machine Learning Scientist, you'll leverage large-scale, real-time data to develop and deploy production-grade ML models that power critical product features. You'll be involved in the end-to-end ML lifecycle, from research and experimentation to deployment and monitoring, while collaborating closely with data engineers and domain experts. Your work will drive tangible product improvements through innovative ML solutions, with opportunities to push the boundaries of model performance and discover novel approaches to complex challenges.

Requirements

5+ 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

Nice To Haves

Government, govtech, or defense experience is welcome but not required

Responsibilities

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

Benefits

Flexible schedule - We all have other things going on in our lives. Doctor visits, kids’ activities, dog walks - take care of it whenever you have to. And work from home when you need to.
Competitive compensation + Sizeable equity - We’re building something with massive upside potential, and you’ll have ownership in that. This is ours.
Flexible vacation time - Use what you want, as long as you’re taking care of what needs to get done.
Full health, dental, and vision insurance.
And more…

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