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Pytho Ai

AI Engineer

LocationSan Francisco
Work modeon-site
Typefull-time
DepartmentAI Engineering
EquityIncluded
Company size1+ people
First seen1w ago
Last seen22h ago
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
Nice to have
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
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