Pytho AI
AI Engineer
San Francisco · On-site · Full-time · Posted Mar 16, 2026
- Education
- Bachelor's degree (B.Sc.) in Computer Science; preferred: Master's degree (M.Sc.) in Computer Science, Machine Learning, or related field.
About the job
Develops and deploys machine-learning systems for operational defense problems, spanning data preparation, modeling, production integration, and monitoring.
What you'll do
- Design, train, fine-tune, evaluate, and deploy ML models across the full lifecycle.
- Build scalable data pipelines and reliable training and inference systems, including for edge deployment.
- Integrate models into production systems and prototype and benchmark new approaches, including LLMs and multimodal systems.
What they ask for
- Bachelor's degree (B.Sc.) in Computer Science.
- Strong software engineering fundamentals and solid understanding of machine learning principles.
- Hands-on experience with ML frameworks (PyTorch, TensorFlow, Hugging Face) and real-world datasets.
- Strong communication and collaboration skills; willingness to travel up to 15%; must be eligible to obtain and maintain a U.S. security clearance.
Nice to have
- Master's degree (M.Sc.) in Computer Science, Machine Learning, or related field.
- Experience with edge-deployable or offline ML systems, model optimization, distributed training, large-scale data processing, geospatial or multimodal systems, or containerization and orchestration tools.
Tools
PyTorch, TensorFlow, Hugging Face, LLMs
AI focus
Builds AI/ML for defense readiness, including modeling for operational problems, planning under uncertainty, multi-agent coordination, simulation, and reinforcement learning; prototypes LLM and multimodal approaches.
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