Pytho AI
AI Engineer
San Francisco
Sponsorship not specifiedDetected 128 days ago
CI/CDMachine LearningTensorFlowPyTorchData EngineeringLLMsA/B TestingCybersecuritySystems EngineeringResearchCommunicationCollaboration
About the role
- 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.
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.
- 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.
- We build AI for the most important problem in defense - making sure the force is ready to fight.
- Opportunity to help build a category-defining defense tech company
Requirements
- Must be eligible to obtain and maintain a U.S.
- Experience with containerization and orchestration tools
- Required
- Solid understanding of machine learning principles (model evaluation, optimization, bias/variance tradeoffs)
- Willingness to travel up to 15% to engage with DoW partners
- Preferred
- Master's degree (M.Sc.) in Computer Science, Machine Learning, or related field
Nice to have
- Bachelor's degree (B.Sc.) in Computer Science
- Strong software engineering fundamentals
- 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
- Must be eligible to obtain and maintain a U.S. security clearance
- Experience with edge-deployable or offline ML systems
- Experience optimizing models for latency and compute constraints
Compensation
- Competitive salary and equity
Benefits
- Competitive salary and equity
- Full health benefits
Company info
- 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.
Visa & Work Authorization
- security clearance
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This listing is sourced directly from Pytho AI's careers page and normalized into a canonical job model.