AI/ML Engineer

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.

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

Qualifications

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

Our Working Style – Why We Might Work Well Together

You care about government & are mission-oriented - Our work is important, and is critical to improving a system that impacts us all.
Perseverance and endurance - Hard problems are worth solving, and solving them can take a long time. There is no such thing as exhausting all options, it’s just time to look for new ones.
Empowerment > micro-management – We’re building a culture of high-performers. Our job is to equip them with what they need and eliminate roadblocks for them to succeed. We trust their judgment, skills, and experience from there.
We’re collaborative and communicate well - Constructive dialogue that takes all viewpoints into account is the only way we get to the right decision. Respect, trust, and complete transparency with each other is critical - keep it all in the open
You’re really good at what you do… but it speaks for itself – High output, no ego. Being humble is extremely important to us
You don’t mind change and are comfortable with uncertainty - We’re deliberate about setting goals, but we’re comfortable changing course and dealing with discomfort to get there. We’re still figuring things out, and that demands being flexible and iterative.
Work doesn’t feel like “work” to you – We’re passionate about what we’re going after, and we devote more time to it than a typical 9-5. That often means putting in extra time at night and occasionally on weekends. However, maintaining your own personal balance comes above all else, and you should establish that however you need to - flexible schedule, taking advantage of time off, or anything else you need.
You like to move fast and have a bias towards action - Our roadmap is directional at this stage - speed and a feeling of urgency is key to prove it out. We expect each other to proactively determine what needs to get done and go for it.
Integrity is never negotiable – Transparency, honesty, and respect comes above all else.

Benefits & Structure

We’re a tight-knit team headquartered in Arlington, VA. We work in the office together most days, and believe being in the same place is a competitive advantage.
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…

Compensation Range: $140K - $200K

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Artificial Intelligence/Machine Learning (AI/ML) Engineer

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