About the role
Company Overview
Prepare first. Decide first. Win first.
At Pytho, we're on a mission to ensure warfighters are prepared for every challenge they face. We are committed to assembling a world-class team of exceptional problem solvers, combining expert engineering talent with deep experience in National Security.
We build AI for the most important problem in defense — making sure the force is ready to fight. Our software is deployed and in use with DoW partners today.
The Opportunity
We're building out our AI Engineering Team. This is a chance to join at the earliest stage of a company where the engineering problems are genuinely hard — planning under uncertainty, multi-agent coordination, simulation, reinforcement learning — and the work is deployed in environments where the output actually matters.
You will work across the full ML lifecycle — transforming messy, real-world data into production-grade models deployed in high-stakes environments. You'll ship fast, work directly with the founders, and have outsized influence on the technical direction of the company.
Key Responsibilities
AI/ML Development: Design, train, fine-tune, and deploy ML models to solve real-world operational problems. Own the lifecycle from data exploration and feature engineering to evaluation and production monitoring.
Data & Systems Engineering: Build scalable data pipelines for structured and unstructured data (text, imagery, geospatial, sensor data). Develop reliable training and inference systems optimized for performance and edge deployment.
Engineering Excellence: Integrate models into robust, scalable production systems with strong testing, observability, and CI/CD practices.
Research & Experimentation: Prototype and benchmark new modeling approaches (LLMs, multimodal systems) to improve performance, robustness, and mission impact.
What You Bring
Required
- Bachelor's degree (B.Sc.) in Computer Science
- Strong software engineering fundamentals
- Solid understanding of machine learning principles (model evaluation, optimization, bias/variance tradeoffs)
- Hands-on experience with ML frameworks (PyTorch, TensorFlow, Hugging Face)
- Experience working with real-world datasets — cleaning, feature engineering, experimentation, and performance analysis
- Strong communication and collaboration skills
- Willingness to travel up to 15% to engage with DoW partners
- Must be eligible to obtain and maintain a U.S. security clearance
Preferred
- Master's degree (M.Sc.) in Computer Science, Machine Learning, or related field
- Experience with edge-deployable or offline ML systems
- Experience optimizing models for latency and compute constraints
- Familiarity with distributed training or large-scale data processing
- Exposure to geospatial, multimodal, or reasoning systems
- Experience with containerization and orchestration tools
Benefits
- Competitive salary and equity
- Opportunity to help build a category-defining defense tech company
- Full health benefits
- 401(k)
- Offices in Washington DC and San Francisco