Artificial Intelligence​/Machine Learning; AI​/ML Engineer

Location

Arlington

Full time

Hybrid

Engineering

• $140K – $200K
  • Offers Equity

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, Tensor Flow, 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 and are mission-oriented
• Perseverance and endurance
• Empowerment > micro-management
• We re collaborative and communicate well
• You re really good at what you do… but it speaks for itself
• You don’t mind change and are comfortable with uncertainty
• Work doesn t feel like “work” to you
• You like to move fast and have a bias towards action
• Integrity is never negotiable

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