Senior AI Engineer

Qualifications:

• S. or M.S. in Computer Science, AI, Machine Learning, Engineering, Mathematics, Physics.
• 5-7 years of experience in software engineering, machine learning engineering, or applied AI roles.
• Strong problem-solving skills and ability to translate ambiguous real-world problems into scalable AI solutions.

Preferred Qualifications:

• Experience building Agentic AI systems for time-series, anomaly detection, or predictive modeling.
• Familiarity with Databricks ML, MLflow, or similar ML lifecycle platforms.
• Background in orbital mechanics, aerospace, physics, or applied mathematics.

Within 3 Months:

• Develop a strong understanding of LeoLabs’ data architecture, AI/ML use cases, and operational constraints.
• Design and implement feature pipelines and training datasets for key problem areas.

Within 6 Months:

• Deploy and monitor models in production, ensuring reliability and performance.
• Optimize model performance through advanced feature engineering, tuning, and experimentation.