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A growing early-stage startup are looking for an AI Engineer.
The startup uses AI to Draft and Develop war plans for their Aerospace/Defense partners. They're on a mission to ensure warfighters are prepared for every challenge they face. They build AI-native software for mission-critical workflows — empowering warfighters with adaptive, intelligent technology designed for the pace and complexity of modern conflict.
This is an opportunity to join at the earliest stage and build systems that matter. This role is ideal for someone who thrives in a hands-onenvironment, enjoys solving complex data problems, and wants to push the state-of-the-art in applied AI for defense. You will work across the full ML lifecycle — transforming messy, real-world data into production-grade models deployed in high-stakes environments.
Key Responsibilities:
AI/ML Development: Design, train, fine-tune, and deploy state-of-the-art 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, RAG) to improve performance, robustness, and mission impact.
Requirements:
- Bachelor’s degree (B.Sc.) in Computer Science or related field.
- 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.
- Experience deploying ML systems into production environments.
- Familiarity with cloud platforms (AWS, GCP, Azure) and modern deployment workflows.
- Strong problem-solving ability and comfort operating in ambiguity.
- Willingness to travel up to 15% to engage with DoD partners.
- Must be eligible to obtain and maintain a U.S. security clearance
Salary: 150-200k base + Equity
Full Health Benefits + 401k
In office at least 2-days a week in San Mateo***
JOB ID: 180980
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